Speakers and Panelists

BICA 2021 speakers are world-recognized experts and promising young researchers, doing cutting-edge work in the field of BICA. Names of BICA 2021 speakers include, but are not limited to:

• Sam Adams (Metacognitive Technology, USA) + panelist

• Taisuke Akimoto (Kyushu Institute of Technology, Japan) + co-chair

• Antonio Chella (University of Palermo, Italy) - BICA@IS4SI talk

• Ricardo Gudwin (DCA-FEEC-UNICAMP, Brazil) + panelist

• David Kelley (AGI Lab @ Microsoft, USA) + BICA@IS4SI chair

• Antonio Lieto (University of Turin, Italy) - keynote

• Felix F. Ramos-Corchado (Cinestav GDL, Mexico) + BICA'22 chair

• Alexei Samsonovich (NRNU MEPhI, Russia) + chair

• Rosario Sorbello (University of Palermo, Italy)

• Jan Treur (VU University Amsterdam, The Netherlands)

Selected Abridged Abstracts

01. Roman Dushkin and Vladimir Stepankov. Criticism of the «Chinese Room» by J. Searle from the Position of a Hybrid Model for the Design of Artificial Cognitive Agents.
The article presents a review of the phenomenon of understanding the meaning of the natural language and, more broadly, the meaning of the situation in which the cognitive agent is located, taking into account the context. A specific definition of understanding is given, which is at the intersection of neurophysiology, information theory and cybernetics. The scheme of abstract architecture of a cognitive agent (of arbitrary nature) is given, concerning which it is stated that an agent with such architecture can understand in the sense described in the work. It also provides a critique of J.

02. Philip Jackson. Toward Human-Level Qualitative Reasoning with a Natural Language of Thought.
How could AI systems achieve human-level qualitative reasoning? This research position paper proposes that a system architecture for human-level qualitative reasoning would benefit from a neuro-symbolic approach combining a ‘natural language of thought’ with qualitative process semantics.

03. Larisa Ismailova, Sergey V. Kosikov, Igor Slieptsov and Viacheslav Wolfengagen. Specification Language based on Linear Temporal Logic for Automatic Construction of Statically Verified Systems.
The given paper considers an approach to the construction of information systems, the interaction of which with the user can be described in the form of a small set of formal requirements. The means of formal specification are proposed in the form of a language allowing to express requirements compactly and close to how they are formulated by the developer. The language is an extension of the language of linear temporal logic. The language support tools ensure the construction of a supporting environment that is sufficient for the construction of the system and static verification of its ...

04. Sergey V. Kosikov, Viacheslav Wolfengagen and Larisa Ismailova. Support for reasoning on data and metadata types for modeling the cognitive capabilities of the subject.
The paper considers a variant of the data management problem for the case when the subject managing the data uses various deduction methods to evaluate the degree of reliability and validity of the data. According to the general results of the theory of applicative systems, there is a correspondence between data types and logical inference formulas (the Curry-Howard correspondence). In this paper, this correspondence is used both to provide inference and type checking for model objects, and to conduct reasoning about data in conditions when the data has different reliability. The proposed ...

05. Larisa Ismailova, Viacheslav Wolfengagen, Sergey V. Kosikov and Igor Slieptsov. Semantic stabilization tools for managing the cognitive activity of the subject.
The paper considers a model of knowledge extraction based on the conceptual modeling of user interaction with a domain-oriented virtual environment. The environment is modeled as a network of information graphs that changes its structure over time. This allows us to set the task of supporting the modeling of the cognitive activity of the subject in a changing environment. The description of changes is made on the basis of a parameterized computational model using the construction of a variable domain. The paper shows that a given set of domain variables can be considered as nested in a ...

06. Larisa Ismailova, Viacheslav Wolfengagen and Sergey V. Kosikov. Semantic management of domain modification in a virtual environment for modeling vulnerable information subjects.
The paper deals with the development of information technology tools for semantic stabilization of interaction in virtual environments. The basis of the approach is the development and systematic application of a semantic network of processes. As part of the model, the subjects who are vulnerable to targeted information influence are described. The paper proposes a semantic model of the virtual environment, which allows registering the occurrence of a channel of potential undesirable effects. One of the distinctive features of the use of semantic information during conceptual modeling is ...

07. Nate Sutton and Giorgio Ascoli. Spiking Neural Networks and Hippocampal Function: A Web-Accessible Survey of Simulations, Modeling Methods, and Underlying Theories.
Computational modeling has contributed to hippocampal research in a wide variety of ways and through a large diversity of approaches, reflecting the many advanced cognitive roles of this brain region. The intensively studied neuron type circuitry of the hippocampus is a particularly conducive substrate for spiking neural models. Here we present an online knowledge base of spiking neural network simulations of hippocampal functions. First, we overview theories involving the hippocampal formation in subjects such as spatial representation, learning, and memory. Then we describe an original ...

08. Andrey Cherkasskiy, Marina Cherkasskaya, Alexey Artamonov and Ilya Galin. User group classification methods based on statistical models.
The fundamental difficulty of building an information model of a target object in social networks is that a large number of characteristics (several tens) are used in the description of objects in social networks, described by all conceivable types of data: numbers, score estimates of qualitative characteristics, texts, symbols, video and audio information. Obviously, such non-additive data types cannot be used to construct any integral criterion for the specification of the target object. To solve this problem, the article introduces the concept of "vector of target search". The general ...

09. Isabel Barradas, Agnieszka Kloc, Nina Weng and Jan Treur. A Second-Order Adaptive Network Model for Exam-Related Anxiety Regulation.
It is not uncommon to be worried about our performance and possible failure in a specific task before even starting it. This fear about not being able to perform well or show the proper abilities is often defined as “performance anxiety”. A common type of performance anxiety is the so-called “exam anxiety”, in which students can experience physical and emotional reactions before or during the exam due to the testing situation. It can affect their well-being, their learning and also their performance during the exam itself. Since exam anxiety can have many negative effects, the need ...

10. Andy Williams. The Architecture of Cognition as a Generalization of Adaptive Problem-Solving in Biological Systems.
The emerging science of Human-Centric Functional Modeling has recently been used to develop what has been suggested to be the first model of human cognition with the potential to represent all of the functionality of human intelligence, a significant milestone critical to the goal of creating a real-life computational equivalent of the human mind that is central to the field of Biologically Inspired Cognitive Architectures. This paper provides an overview of this modeling technique and why it can potentially be used to represent all biological processes as generalizations of the same ...

11. Andy Williams. The Architecture of Cognition as a Generalization of Adaptive Problem-Solving in Biological Systems.
The emerging science of Human-Centric Functional Modeling has recently been used to develop what has been suggested to be the first model of human cognition with the potential to represent all of the functionality of human intelligence, a significant milestone critical to the goal of creating a real-life computational equivalent of the human mind that is central to the field of Biologically Inspired Cognitive Architectures. This paper provides an overview of this modeling technique and why it can potentially be used to represent all biological processes as generalizations of the same ...

12. Andy Williams. The Architecture of Cognition as a Generalization of Adaptive Problem-Solving in Biological Systems.
The emerging science of Human-Centric Functional Modeling has recently been used to develop what has been suggested to be the first model of human cognition with the potential to represent all of the functionality of human intelligence, a significant milestone critical to the goal of creating a real-life computational equivalent of the human mind that is central to the field of Biologically Inspired Cognitive Architectures. This paper provides an overview of this modeling technique and why it can potentially be used to represent all biological processes as generalizations of the same ...

13. Kazuteru Miyazaki. Proposal and Evaluation of Deep Profit Sharing Method in a Mixed Reward and Penalty Environment.
Deep reinforcement learning, which combines deep learning and reinforcement learning, is attracting attention. In many cases, Q-learning (QL) is used as a reinforcement learning method. On the other hand, the authors are paying attention to exploitation-oriented learning such as Profit Sharing (PS) from the standpoint of strongly enhancing experience. Though many methods such as DQNwithPS have been proposed as a method that combines exploitation-oriented Learning and deep learning, complete independence from QL has not been realized in an environment where rewards and penalties are mixed. In ...

15. Margarita Zaeva, Andrew Evstifeev and Nadezhda Shevchenko. The control algorithm of compressor equipment of automobile gas-filling compressor stations with elements of fuzzy logic.
The need for motor fuel has a pronounced unevenness. At the same time, the unevenness of fuel consumption negatively affects the energy and economic efficiency of the production activities of automobile gas-filling compressor stations. The paper proposes algorithms for controlling compressor equipment that reduce this negative effect. The application of the theory of fuzzy sets and the fuzzy inference algorithm for estimating the parameters and the residual resource of gas equipment in the presence of fuzzy values in the equations allows us to obtain numerical values of the uncertainty of ...

18. Viacheslav Wolfengagen, Larisa Ismailova, Sergey V. Kosikov and Sebastian Dohrn. Cognitive System for Traversing the Possible Worlds with Individual Information Processes.
In this work, an individual process, or for short, an individual is selected, and the ``history'' of its transformations is traced, depending on the scenario. Scenario is considered as the restriction imposed on the behavior of individual. States, or separate scenes, are achieved by possible worlds, and transitions between worlds are given by the relation of reachability, or evolvent. The evolvent restricts a transition from one stage of knowledge to later stages. In fact, in this work, the only preliminary work has been done to study the dynamics of the individual and a leading example is ...

19. Taisuke Akimoto. Development of COMOS Architecture Based on a Story-Centric View of the Mind.
A general aim in studies on cognitive architectures or artificial cognitive systems is a systematic framework and computational principles for achieving comprehensive, human–analogous, artificial intelligence. We have taken a story-centered approach to this issue during the past few years. The essential idea of this approach is to construct the foundation of an artificial cognitive system as the internal movement of stories. The internal movement of stories is considered to be the mid-level cognition between a lower level associated with neural/bodily processes and a higher-level ...

20. Gülay Canbaloğlu, Jan Treur and Peter Roelofsma. Computational Modeling of Organisational Learning by Self-Modeling Networks.
Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organization is created, which can then be adopted by individuals. This provides mechanisms for organizational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study.

21. Alsu Sagirova and Mikhail Burtsev. Complexity of Neural-Symbolic Representation in Working Memory Correlates with the Complexity of Task.
This paper attempts to explore and analyze the characteristics of the content of working memory added to the decoder of the Transformer model. Transformers are widely used for Natural Language Processing tasks, especially for machine translation. However, they lack the memory to store key concepts of the processed text. Such memory storage helps to improve the quality of model predictions and works as a neural-symbolic representation of what is essential for the model to make predictions. The analysis of memory content helps to reveal the insights about the model predictions' making.

22. Evgeny Tretyakov, Dobrica Savić, Anastasia Korpusenko and Kristina Ionkina. Sentiment Analysis Of Social Networks Messages.
In the modern era of artificial intelligence and machine learning, data mining is becoming an important tool for determining public opinion and social re-search. In this regard, sentiment analysis is a new method of studying pub-lic opinion, in particular, as a nontrivial approach to the analysis of politi-cal texts. This paper examines the nature of sentiment analysis in political texts, identifies the problems which researchers face when analyzing politi-cal texts, and identifies the difficulties that affect the accuracy of results. The aim of this study is to determine the relevance of ...

23. Howard Schneider. Causal Cognitive Architecture 2: A Solution to the Binding Problem.
The binding problem is considered in terms of how the brain or another cognitive system can recognize multiple sensory features from an object which may be among many objects, process those features individually and then bind the multiple features to the object they belong to. The Causal Cognitive Architecture 2 (CCA2) builds upon its predecessor with the Navigation Module now consisting of an Object Segmentation Gateway Module allowing segmentation of a sensory scene, the core Navigation Module where the navigation maps are operated on, and the Causal Memory Module storing navigation maps ...

24. Vyacheslav Orlov, Sergey Kartashov, Denis Malakhov, Mikhail Kovalchuk and Yuri Kholodny. Evaluation of fMRI data at the individual level.
This work is a continuation of research aimed at creating a method for opti-mal evaluation of fMRI data at the individual level. The article presents the results of experiments in the concealed information paradigm. During the study, certain aspects of the developed method were studied and the factors influencing the formation of such estimates were evaluated. The prospects of the developed approach to creating a method for optimal evaluation of fMRI data at the individual level, which allowed us to successfully identify significant stimuli for a person in 80% of cases, are shown.fMRI, ...

25. Oscar-Guadalupe Hernández-Calderón, Carlos-Johnnatan Sandoval-Arrayga, Gustavo Palacios-Ramirez, Natividad Vargas-Hernandez, Francisco Robles and Felix-Francisco Ramos-Corchado. Bio-inspired task-rule retrieval model with auditory sorting test.
Cognitive architectures (CAs) are currently used to bring the behavior of computer systems closer to human behavior. One of themain capacities of humans is the ability to plan and make decisions. Thus, part of the human behavior is based on rules associatedwith the relevant environmental stimuli. Rule management can be divided into six needed processes: rule learning, rule retrieving,rule coding, rule updating, rule reinforcement, and rule changing. A key aspect of rule processing is retrieval, which involves theuse of information extracted from memory. This work deals with how rules are ...

26. Ivan Axel Dounce, Luis Adrián Parra-Avellaneda and Felix Francisco Ramos-Corchado. Bio-inspired computational object classification model for object recognition.
Human beings have the ability to effortlessly perceive stimuli through their sensory systems to create an internal interpretation of the environment which they can later use to act on. Over the years, efforts have been made to equip computer systems with visual perception skills similar to those of humans, with the aim of enabling cybernetic systems with artificial intelligence to perform tasks that humans perform. The cognitive sciences, mainly neuroscience, provide evidence and explanations of the functioning of certain aspects of visual perception in the human brain. Visual ...

27. Frank de Jong, Edgar Eler, Lars Rass, Roy M. Treur, Jan Treur and Sander Koole. From Mental Network Models to Virtualisation by Avatars: a First Software Implementation.
Mental processes in the brain and body are often modelled and simulated by causal models according to a dynamical systems perspective. These causal mod-els can be adapted to fit natural human processes and describe specific human traits. Patterns or time series generated by simulations are often displayed in the form of graphs of activation levels of mental states against time. However, from these generated time series generated by such a model, using avatars virtual agents can be constructed which express these patterns. Such forms of virtualisation can be used in therapy or coaching ...

28. Larisa Lyutikova. Application of the multi-valued logic apparatus for solving diagnostic problems.
The paper proposes a general approach and a software package developed on its basis for diagnostic tasks. Today, the most popular methods for solving such problems are neural networks. However, in cases where it is necessary to process small and poorly structured amounts of data, neural network algorithms do not guarantee accurate results. To work with such data, an approach is proposed based on the use of the multi-valued logic apparatus, which first of all analyzes the data for patterns, structures them, selects particularly significant connections. Selects a group of individual signs for ...

29. Gülay Canbaloğlu and Jan Treur. Using Boolean Functions of Context Factors for Adaptive Mental Model Aggregation in Organisational Learning.
Aggregation of developed individual mental models to obtain shared mental models for the organization is a crucial process for organizational learning. This aggregation process usually does not only depend on the individual mental models used as input for it, but also on several context factors that may vary over circumstances and time. This means that for computational modeling of organizational learning, the aggregation process better can be modeled as an adaptive dynamical process where adaptation is used to obtain a context-sensitive outcome of the aggregation. In this paper, it is ...

30. Sergey Misyurin and Andrey Nelyubin. Genetic-Memetic relational approach for scheduling problems.
A general approach to the construction and optimization of schedules is proposed, based on the representation of schedules in the form of a set of binary relations. The description of the schedule in the language of relations is natural and reflects its essential characteristics. It allows us to formalize a lot of flexible constraints involving different priorities, requests, wishes of the schedule participants. It also brings us closer to solving the problem of schedule recognition arising in the process of regular rescheduling. To optimize the schedules, we use a hybrid algorithm scheme ...

31. Sergey Misyurin, Yuriy Semenov and Elena Semenova. On the Possibility of Using the Vibration Displacement Theory in the Analysis of Ship Accident Rate Using Artificial Intelligence Systems.
The problem of transportation of unfixed cargo by ships in sea conditions is considered. As one of the influencing factors in order to predict the accident rate, it is proposed to use the results of applying the theory and vibration displacement (transportation). The effective roll angle model is considered as the simplest model of this theory. Used model makes it possible to determine the speed of the body’s “slow” motion and its direction - to the vessel plane of symmetry or to its sides. The latter case is associated with a shift in the center of gravity of the vessel, leading to ...

32. Alexey Kovalev, Makhmud Shaban, Evgeny Osipov and Aleksandr Panov. Vector Semiotic Model for Visual Question Answering.
In this paper, we propose a Vector Semiotic Model as a possible solution to the symbol grounding problem in the context of Visual Question Answering. The Vector Semiotic Model combines the advantages of a Semiotic Approach implemented in the Sign-Based World Model and Vector Symbolic Architectures. The Sign-Based World Model represents information about a scene depicted on an input image in a structured way and grounds abstract objects in an agent's sensory input. We use the Vector Symbolic Architecture to represent the elements of the Sign-Based World Model on a computational level.

33. Sophie Hendrikse, Sem Kluiver, Jan Treur, Tom Wilderjans, Suzanne Dikker and Sander Koole. A Second-Order Adaptive Joint Decision Making Model Virtualized by Two Virtual Agents.
The aim of the current paper was to model a realistic, non-verbal adaptive joint decision making process between two virtual agents. How to model as good as possible non-verbal joint decisions is still challenging, although such models based on psychological literature have a lot of future applications like online therapeutics. We used a network-oriented modelling approach to build the adaptive joint decision making model and the Unity 3D engine to virtualize this process between agents, their internal and external states, and the scenario. The scenario we used, is a therapeutic session.

34. Anna Igrevskaya, Alexandra Kachina, Aliona Petrova and Konstantin Kudryavtsev. The Research of Characteristic Frequencies for Gesture-based EMG control channels.
The paper describes experimental studies of the selection of characteristic frequencies for use in EMG-based human-machine interfaces in the problem of gesture recognition. Such interfaces allow the operator to interact with a mobile robotic device without significant physical effort. The flexion of the hand fingers is characterized by neuromuscular temporal signals, which are read by sensors and subsequently subjected to mathematical processing. The discrete Fourier transform allows us to obtain a spectral representation of the signal and select the main frequencies where the maximum signal ...

35. James Worth and Mei Si. Integrated Multi-Task Agent Architecture with Affect-Like Guided Behavior.
Proposed is a limbic system inspired agent architecture using a hierarchical agent design that supports general adaptive multi-task learning and execution. The agent motivation system uses a model of Affect to improve multi-task learning algorithm which combines sub-goal selection, self-attention and behavior regulation to improve agent cumulative rewards while reducing execution of risky behavior. Results show that agents using this architecture outperform vanilla Q-Learning agents with an average increase of 21\% of performance and an excess of 800\% improvement in Go game tasks.

36. Zalimkhan Nagoev and Irina Gurtueva. Generalized structure of active speech perception based on multiagent intelligence.
Recent success in the field of speech technology is undoubted. Developers from Microsoft and IBM reported on the efficiency of automated speech recognition systems at the human level in transcribing conversational telephone speech. According to various estimates, their WER now is about 5.8-5.1%. However, the most challenging problems in speech recognition – diarization and noise cancellation – are still open. A comparative analysis of the most frequent errors made by systems and people when solving the recognition problem shows that, in general, the errors are similar. Errors made by a ...

39. Zalimkhan Nagoev and Olga Nagoeva. Multiagent neurocognitive models of the processes of understanding the natural language description of the mission of autonomous robots.
The article is devoted to the development of neurocognitive models of the processes of understanding natural language statements that describe the goals, essential conditions and the course of the mission of autonomous robots. Such models serve to provide a dialogue interface in human-robotic teams. The key problem of automatic formation of a plan for achieving goals common for all members of such a team is solved on the basis of using algorithms for synthesizing the optimal path in a single decision graph based on self-organization processes occurring in the multi-agent neurocognitive ...

40. Antonio Lieto. Cognitive Design for Artificial Minds.
What does it mean to build biologically or cognitively inspired systems? How could we rank the different levels of biological/cognitive plausibility of different artificial systems? In this talk, I will present the main design paradigms developed in the context of Cognitive AI and Computational Cognitive Science and will introduce the the Minimal Cognitive Grid as a tool to rank and project the explanatory power of different artificial systems. In doing so I will present two cognitively inspired AI applications - Dual PECCS and the TCL reasoning framework - showing how the outlined design ...

42. Albert Efimov, David Dubrovsky and Philip Matveev. Walking Through the Turing Wall.
Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and conven-ient assistants to humans, machines need to learn how to act and communi-cate in the physical reality just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instant of the Turing test – the judge, the machine, the human-subject as well as the means of obser-vation instead of building a separating wall. The second one aims to ...

43. Sergey Misyurin, Andrey Nelyubin, German Kreinin, Natalia Nosova, Arkadij Chistyj, Nikolaj Khokhlov and Egor Molchanov. Robot Hexabot: Kinematics and Robot Gait Selection.
The article is devoted to the problems of movement and control of a six-legged walking spider-robot. The problems of direct and inverse kinematics of the spatial mechanism are solved. The possibility of implementing various movements of a walking six-legged robot Hexabot (spider-robot) is considered. The problem is to increase the speed of the robot's movement from one position to another by reducing the dynamic loads of the robot's leg, as well as by choosing a more rational dynamically balanced gait. When solving the first part of the work, at the first stage, one leg is considered ...

44. Sergey Misyurin, Andrey Nelyubin, German Kreinin and Natalia Nosova. Multicriteria Optimization of a Hydraulic Lifting Manipulator by the Methods of Criteria Importance Theory.
The article describes the procedure for multicriteria optimization and choosing the best parameter values of a manipulator designed to lift a heavy, bulky load using two parallel and synchronously operating hydraulic drives. Information about the dynamics of the system was obtained by computer simulation of a sufficiently complete dimensionless model. Three characteristics of the system are considered as optimality criteria: imbalance of mass loads on drives, power (size) of drives and synchronization of their operation. To search for feasible solutions to the optimization problem in the ...

45. Artemy Kotov, Anna Zinina and Liudmila Zaidelman. How robots can percieve and express a social gaze in communication with humans.
We design a balance architecture to control a companion robot F-2, that allows the robot to respond to speech and visual stimuli, and, in particular – to recognize and implement social gaze patterns during the interaction with a human. Within the experiment (n = 46, 33 females, mean age 27), we demonstrate, that the robot, actively responding to a user’s gaze by looking back, is preferred by the participants with high level of emotional intelligence, as compared to the robot, which replies to a human gaze by looking sideways. The preferred robot in all the groups is evaluated as more ...

46. Dilay Ercelik and Jan Treur. A Controlled Adaptive Network Model for Joint Attention.
Joint or shared attention is a fundamental cognitive ability, which manifests itself in shared-attention episodes where two individuals attend to the same object in the environment. Network-oriented modeling provides an explicit framework for laying out this attentional process from the perspective of the individual initiating the episode. To this end, we describe an adaptive network with two reification levels and clearly explain the role of its states. We conclude with some suggestions for extending this modeling work and thinking about the potential use-cases of more developed models.

47. Natalia Nosova and Sergey Misyurin. Exploring the Workspace of a Robot with Three Degrees of Freedom.
In this paper, we consider the mechanical part of the robot controlled by artificial intelligence according to three independent coordinates. The solu-tion of kinematics problems is considered. The task is set to determine the size and shape of the workspace of the robot mechanical part based on solving the inverse kinematics under given initial conditions. This is important for solving the planning problem, since all the trajectories of the output link with the working tool (end-effector) of the robot must remain within the obtained working area. It is possible to create quite complex ...

48. Anna I. Guseva, Elena Matrosova, Anna Tikhomirova and Matvey Koptelov. Means of information support for the program of increasing public loyalty to nuclear energy projects.
The article is devoted to advanced tools for distributing information among Internet users. The authors propose the use of contextually targeted advertising to inform the population about nuclear energy projects and to form a positive attitude towards them. This work was supported by RFBR grant № 20-010-00708\21.

49. Sergey Leshchev. Informational, Logical and Material Boundaries of Computer Intelligence.
Strong (or general) artificial intelligence is perceived as a philosophically respectable notion, but some synonym or close forms of the term, such as “machine consciousness”, “synthetic mind”, “self-aware agents”, “reasoning system”, “embodied cognition”) generate different AI-aspeсts which could be effective or could distract researcher from the important features of such a phenomenon. The expression "computational intelligence" (CI) disclose a mechanistic, engineering foundations and provide a better view on problems to solve. Some technical issues of CI are shared ...

50. Hedda R. Schmidtke. The Context Logic Program.
Context Logic (CL) is a two-layered logic with an analogous semantics. In contrast to conventional logical languages in the tradition of Frege, which feature set-theoretical semantics for their symbols, composition mechanisms, and formulae, CL, besides such a classical semantics, provides additional analogous semantics. An, in the classical sense, contingent CL formula yields a set of point-coordinates for the objects it describes, with relations providing the dimensions and spanning the vector space within which the points are located. CL thus gives rise to semantic space models. The ...

51. Olga Chernavskaya. On modeling the possible effect of self-isolation on cognitive and creative abilities.
Possible effect of the self-isolation (inevitable pandemic consequence) on the cognitive system is considered within the original model of Natural-Constructive Cognitive Architecture (NCCA). One of the most important part of NCCA being the block of perception of primary information which serves as a basis for the episodic experience. This raw (even seemingly inessential) information actually represents the main source for creativity providing personal indirect (nontrivial) associations. It is shown that the self-isolation attacks mainly this very block that could result in stagnation of the ...

52. Oleg Sychev. Combining neural networks and symbolic inference in a hybrid cognitive architecture.
During recent years, there was a big progress in developing artificial deep-learning neural networks and large-scale knowledge graphs. However, the results in these two research fields have serious drawbacks. The solutions offered by neural networks remain unstable and prone to adversarial attacks: while the percentage of correct answers increases, the incorrect answers often contain glaring mistakes. Large knowledge graphs contain a lot of facts but little knowledge; they are mostly used for information search and retrieval. The ability to reason conclusions on them is limited, and the ...

53. Adam Bennett and Tony White. Dynamical Properties of Spiking Neural Networks with Small World Topologies.
Spiking neural networks can exhibit complex firing regimes whose characteristics are influenced by network topology. This paper is part of an investigation into the dynamical properties of spiking neural networks generated with small world topologies in comparison to those generated with Erd\H os-R\' enyi random graphs. Specifically, the parameters for small world and random graph network topology generation are tested empirically to find values which give rise to stable (fixed or periodic) vs. unstable or dissipative firing patterns. Similar to Erd\H os-R\' enyi random graph topologies, a ...

54. Alexei V. Samsonovich and Yuliana Karabelnikova. Virtual partner dance as a paradigm for empirical study of cognitive models of emotional intelligence.
This work presents a new paradigm for empirical study of cognitive models of emotional intelligence and preliminary results obtained within it. Among computational approaches to modeling human emotions, the eBICA cognitive architecture takes a special place, because it provides a framework for unification of cognitive and physiological models of emotional intelligence, dimensional and componential representations of emotions, etc. Selected paradigm involves spontaneous interactions among three dancing avatars, one or two of which can be controlled by human participants. Available behaviors ...

55. Alexei V. Samsonovich, Vladimir S. Tsarkov, Vladislav A. Enikeev and Denis A. Semenov. Toward a socially acceptable model of emotional artificial intelligence.
The framework of emotional Biologically Inspired Cognitive Architecture (eBICA) is used to define a cognitive model, producing believable socially emotional behavior in various human-AI interaction paradigms in virtual environments. Paradigms selected for this study include a virtual pet, a virtual listener, and a virtual poster presenter at an online conference. Empirical results indicate that the combination of somatic factors, moral appraisals and rational values in one model has the potential to make behavior of a virtual actor more believable, humanlike and socially acceptable.

56. Alexander Sboev, Alexey Serenko and Roman Rybka. Correlation encoding of input data for solving a classification task by a spiking neural network with Spike-Timing-Dependent Plasticity.
We propose a new approach for encoding input data into spike sequences presented to the spiking neural network in a classification task: an input vector is represented by mutual correlations of input spike sequences. The accuracy obtained on the benchmark classification tasks of Fisher's Iris and Wisconsin breast cancer is comparable to the results of other existing approaches to spiking neural network learning on base of Spike-Timing-Dependent Plasticity.

57. Rosario Sorbello and Carmelo Calì. A theoretical and experimental case for the computational study of mind: an AI humanoid robotic platform for honest signaling.
In this paper, we outline briefly some differences that cut across the theory of mind research field to assume a deflationary standpoint on criticism. We emphasize that the notions of equivalence and modeling are the key concepts that Cognitive Science has inherited from the received view, and argue that those core concepts remain valid for scientific and philosophical research. Then, we present the framework of our theoretical and experimental research on the ability of subjects to coordinate their behavior in the social environment as an example of a cognitive model that has ...

58. Brett Martensen. Attendance only.
I research AGI. My website www.adaptroninc.com describes me and my work.

59. Joao Kogler. Towards a working definition of cognitive processes suitable for design specifications of BICA.
This talk presents the proposal of a set of working definitions of cognitive processes related terms, aimed to the specification of cognitive systems design, based on an information-theoretical approach. These definitions will be extended to Biologically-Inspired Cognitive Architectures' (BICA) items specification and some consequences of their use will be pointed. The terms ’cognition’ and 'cognitive' are poorly defined, despite of being so widely used in several research areas and in many technological applications. The price paid for this conceptual deficiency can increase ...

60. Sam Adams and Ricardo Gudwin. Discussion Panel 1.
Given the panel format, I’ll limit myself to a single chart suggesting some of the dimensions of intelligence to be considered in any cognitive system. Think of it as an analog of “the shape of a database”. You can also think of these as some “degrees of intelligence” much like the way degrees of freedom is used in robotics. I’ll list a few like explicit support for how many levels of abstraction, number and kinds of attributes allowed, bandwidth and latency of sensor/effector pathways, and the “cycle time” of cognition supported by the system, like “cognitions per ...

61. Josephine Jefferson. NA.
I completed a Masters degree in Computational Neuroscience at the University of Otago, focused on modelling hair cells in the frog vestibular system. I am now working for Soul Machines (an embodied artificial intelligence company), as a research engineer in a team focused on developing cognitive architecture for digital avatars.

62. Laila van Ments and Jan Treur. Modeling Adaptive Cooperative and Competitive Metaphors as Mental Models for Joint Decision Making.
In this paper, joint decision making processes are studied and the role of cognitive metaphors as mental models in them. A second-order self-modeling network model is introduced based on mechanisms known from cognitive and social neuroscience and cognitive metaphor and mental model literature. The cognitive metaphors were modeled as specific forms of mental models providing a form of modulation within the joint decision making process. The model addresses not only the use of these mental models in the decision making, but also their Hebbian learning and the control over the learning. The ...

63. Laila van Ments and Jan Treur. Reflections on Dynamics, Adaptation and Control: a Cognitive Architecture for Mental Models.
In this paper, an overview of the wide variety of occurrences of mental models in the literature is discussed. They are classified according to two dimensions obtaining four categories of them: static-dynamic and world-mental, where static refers to mental models for static world states or for static mental states and dynamic refers to mental models for world processes or for mental processes. In addition, distinctions are made for what can be done by mental models: they can, for example, be (1) used for internal simulation, they can be (2) adapted, and these processes can be (3) controlled.

64. Tijmen Beemster, Nathalie Bijleveld and Jan Treur. On Becoming a Conspiracy Thinker: A Second-Order Adaptive Network Model.
This paper explores how becoming a conspiracy thinker can be modeled by an adaptive mental network model based on theories from the empirical literature. A number of simulation scenarios for different types of persons illustrate its usefulness. The model has been verified by mathematical analysis of stationary points and equilibrium values and validated against data points representing patterns expected from the empirical literature.

65. Isabel Klemme, Mariët Veerman and Jan Treur. An Integrative Second-Order Adaptive Network Model for the Effect of L Reuteri Probiotics in the Gut on ASD Symptoms.
This paper analyses computationally the effect of the gut microbiome on social interaction deficits related to ASD. An integrative second-order adaptive network model is introduced that integrates the relevant mental and physiological causal pathways and their (second-order) adaptivity.

66. Melissa Köhler, Sander Siepel and Jan Treur. The Interplay between Craving and Impulse Control: an Adaptive Network Model for Drug Addiction Treatment.
This study introduces an adaptive causal network model of the effects of treatment on drug consumption in the case of addiction. Different factors are included that have been found to affect drug consumption and are impacted by addiction treatments. To prove the validity of the model, a number of example scenarios are presented that simulate treatments of different lengths and comprehensiveness. In addition, validation was supported by parameter tuning, and verification was performed by mathematically verifying stationary points for simulations of the model.

67. Elisabeth Fokker, Xinran Zong and Jan Treur. A Second-Order Adaptive Network Model for Emotion Regulation in Addictive Social Media Behaviour.
Social media addiction has spread rapidly among young people in recent years. Individuals with social media addiction are more likely to avoid and suppress negative emotions instead of reappraising these emotions, which can cause psychological and even physical harm. This study presents a second-order adaptive mental network model to simulate the process of emotion regulation in social media addicts and the impacts of stress and therapy in this process. This network model can use three types of emotion regulation strategies: suppression, avoidance (by escaping to social media), and ...

68. Alexei V. Samsonovich, David Kelley and Felix Francisco Ramos-Corchado. BICA Society Panel.
We shall discuss the present and future of BICA Society, BICA Conference Series and its publications, and current challenges for the BICA community. Specific questions include the status of BICA*AI 2022 in Mexico, its publication venues, and the coming at this event election of the BICA Society Board of Directors. To remind, the mission of the BICA Society consists in the integration of many efforts addressing the BICA Challenge: to create a real-life digital replica of the human mind, capturing its highest cognitive functions based on a brain-inspired approach.

69. Dmitriy Timokhin, Dzhannet Shikhalieva and Marina Bugaenko. Modeling the economic cross of sectoral development in the context of digitalization.
The article discusses the problems of modeling industry development using modern tools for the development of the digital economy.

70. Evgeniy Trubacheev, Auzby Gusov and Victoria Pimenova. Smart technologies in REM production in Russia.
The article discusses the problems of the development of the rare earth metals industry in Russia using smart technologies. Although China currently controls about 90% of the rare earth metals market, Russia has significant competitive potential in this area. The Soviet economy had the production of rare-earth metals (REM-production) of a closed cycle. In the context of the expansion of Russian business into resource markets and the preparation of the country for technologically independent development in the conditions of the cyclical downturn of the global economy 2022 - 2030. Russia's ...

71. Popova Galina, Dmitriy Timokhin and Olga Repkina. Designing an economic cross as a condition for the formation of technological platforms of a digital society.
The article develops a system of proposals for the use of the economic cross methodology for the formation of projects of "smart" technological systems within the framework of the processes of forming technological platforms of the digital society.

72. Saty Raghavachary. A physical structural perspective of intelligence.
The BICA Challenge is about building cognitive architectures inspired by biological systems. To contribute towards that goal, this short paper will present a novel view of natural intelligence, stemming from the following broader observation: physical structures, by virtue of their design and function, result in appropriate phenomena. Such a physical structure-oriented view is shown to account for natural intelligence (including information-processing aspects) exhibited by a wide range of living systems, including but not limited to flora, insects, viruses, groups/colonies, and humans. The ...

73. Ksenia Khrupina, Irina Manakhova and Alexander Putilov. Developing of smart technical platforms concerning national economic security.
This article includes analyses on the topic of concerning national econimic security for the postcoronavirus period (2022 - 2025).

74. Alisa Suyuncheva and Alexander Vartanov. Comparison of ERP in internal speech (meaningful and non-existent words).
In this article it was decided to pay attention to the mechanisms of mental articulation of words with semantic meaning and words without meaning. The research is based on scalp EEG registration and application of a new method of source localization "Virtual implanted electrode" for calculation of the analogue of the local field potential in the brain regions specified by its coordinates. The purpose of the study is to compare EPs to the signal for internal utterance (repetition) of words in the native language and words with no sense, pronounced in a non-familiar language (Japanese). In ...

75. Yulia Medvedeva, Rafael Abdulov, Daler Dzhabborov and Oleg Komolov. Digitalization of the Economy and Advanced Planning Technologies as a Way to Overcome the Economic Reces-sion.
Over the past ten years, modern digital technologies have been actively in-troduced into the planning systems of large transnational corporations. First of all, we are talking about the analysis of large amounts of data, machine learning and deep learning tools. With advanced digital technologies, we can flexibly respond to changes in consumer preferences, and therefore adjusting to demand and controlling the supply of goods. These technologies can be used to improve state economic activity, in particular for use in planning. The role of planning is likely to increase, primarily to overcome ...

76. Nikolay Maksimov, Golitsyna Olga and Alexander Lebedev. Knowledge Graphs in Text Information Retrieval.
The article discusses the issues of texts ontological representations graph forms interactive use in tasks of information support by means of documentary type in-formation retrieval systems in one of the most human activity complex types - scientific research - the new scientific knowledge output process, as result of which new facts are being established and generalized. Cognitive-like search tools on full texts based on knowledge graph is discussed. Examples of graph search using path search technologies and analysis of the neighborhood of an en-tity or property are given.

78. Anatoly P. Durakovskiy, Victor S. Gorbatov, Dmitriy A. Dyatlov and Dmitriy A. Melnikov. Security risk management methodology for distributed ledger systems.
Currently, the implementation of distributed ledger (DL) systems, as the technological base of trusted electronic document management (EDM), is at the initial stage of its practical application. Solving security issues comes down to checking the developed application software using standard methods for assessing the reliability of software tools. Obviously, this is not enough to ensure their comprehensive security. The purpose of this study is to analyze the possibility of solving this problem using the well-known risk-oriented approach to managing information security (IS) of information ...

79. Alexander Kirichenko. SOCIO-PSYCHOLOGICAL PROBLEMS OF ARTIFICIAL INTELLIGENCE DEVELOPMENT.
The article is based on empirical data obtained by the author in the course of research carried out in 2018-2021. The article explores the phenomenology and classifications of artificial intelligence, identifies the technological capabilities of AI in the modern era of Great Uncertainty, challenges and threats of its use in broad social practice, socio-psychological features and risks. In particular, the socio-psychological problems of human trust in AI, the growth of the unemployment rate due to its introduction, the problems of technological singularity, issues of legal and ethical ...

80. Pavel Leonov, Viktor Suyts, Vadim Rychkov, Anastasia Ezhova, Viktor Sushkov and Nadezhda Kuznetsova. Possibility of Benford's Law Application for Diagnosing Inaccuracy of Financial Statements.
The article describes a technique for diagnosing data inaccuracy using Benford's law. The Benford distribution for the first significant digit of a random decimal number is presented graphically and mathematically. The main requirements for data are listed, which are consistent with Benford's law: the data must refer to one process, there must be no maximum and minimum restrictions in the studied population, artificial introduction of the numbering system is not allowed, and there must be no obvious linking patterns between numbers. When examining the possibility of applying Benford's law to ...

81. Nikolay Maksimov, Olga Golitsyna, Gavrilkina Anastasia and Alexander Lebedev. Semantic generalization means based on knowledge graphs.
The article proposes approaches to text documents semantic content scaling, pre-sented in a knowledge graph form, in order to reduce a cognitive activity working space. Two scaling types operations on graphs are considered - enlargement as aggregation based on inclusion (part-whole relationship) and generalization based on generic relationships. Examples of declarative means use for the scaling opera-tions implementation - a relationships classification and thesaurus are given.

82. Svetlana Nosova, Anna Norkina, Olga Medvedeva, Andrey Abramov, Svetlana Makar, Nina Lozik and Galina Fadeicheva. Artificial intelligence technology as an economic accelerator of business process.
The article covers a range of problems related to the need to use artificial intelligence (AI) technology, on the one hand, as an economic accelerator of business processes in conditions of high competition in the global market, and as conditions for the growth of the economy as a whole. The main purpose of the article is to prove the feasibility of developing a conceptual framework that reveals the value of AI technology in areas such as probabilistic thinking, machine learning and computer vision to help managers better understand how promising achievements can be achieved that can ...

83. Mikhail N. Ivanov, Victor Yu. Radygin, Sergey Korchagin, Ekaterina Pleshakova, Dmitry Sheludyakov, Yerbol Yerbayev and Konstantin Bublikov. Intelligent Web-application for countering DDoS attacks on educational institutions.
The work is devoted to the development of an intelligent prevention system DDoS attacks on educational institutions using blockchain technology. The prin-ciples of developing decentralized applications were studied using smart con-tracts. A model of a system for countering DDoS attacks using blockchain has been developed. A new architecture of an intelligent system is proposed using the blockchain to counter cyber-attacks, such as distributed denial of service. A com-putational experiment for issuing DDoS attacks on educational institutions was carried out. A comparison of the proposed ...

84. Nikita Vasiliev, Nikita Pavlov, Aleksey Osipov, Mikhail Ivanov, Victor Yu. Radygin, Ekaterina Pleshakova, Sergey Korchagin and Konstantin Bublikov. Development of the intelligent object detection system on the road for self-driving cars in low visibility conditions.
Self-driving cars is rapidly developing area in modern world. Many companies, such as Tesla, are using computer vision technologies to automate driving pro-cess by computers using a lot of cameras, integrated in car bodies. One of the problems is weather. We are solving the following task: One day a self-driving car was driving and suddenly it started to rain. The main camera has lost image clarity, except random square area. We need to find out, either a man or a car is in this square area. It is guaranteed that there is a car or a man there. Classes are bal-anced. For train dataset we have ...

85. Sergey Korchagin, Aleksey Osipov, Ekaterina Pleshakova, Mikhail Ivanov, Dmitry Kupriyanov and Konstantin Bublikov. Intelligent system for express analysis of electrophysical characteristics of nanocomposite media.
The article deals with the problem of training specialists in the field of nano-technology. To solve this problem, it is proposed to use Web-applications that allow mathematical and computer modeling of nanocomposites and interact with specialized databases. As an example, a new Web application has been developed that allows for express analysis of the electrophysical characteristics of nanocomposite media. A distinctive feature of the Web-application is the presence of a database with information about the complex dielectric constant for 147 different materials, the possibility of remote ...

86. Vasily Shpak. Fundamentals of a multi-agent planning and logistics model for managing the online industry's reproduction cycle.
The transition of economy to the “Industry 5.0” paradigm and the Sixth Technological Mode will be much more effective if the management models of the real economy sector are ahead of technological, technical, organizational and other processes. The article discusses the structure of a multi-agent system for the management of the electronics industry. A list of requirements for such a system has been proposed, the fulfillment of which will ensure the use of the system for the prompt adoption of optimal management decisions. The article emphasizes that the work of scientists and ...

87. Svetlana Nosova, Anna Norkina, Olga Medvedeva, Svetlana Makar, Sergey Bondarev, Galina Fadeicheva and Alexander Khrebtov. The collaborative nature of artificial intelligence as a new trend in economic development.
In the article, the nature of artificial intelligence (AI) is considered as the result of its collaboration (cooperation) with a person represented by scientists from different fields of science and companies that carry out joint actions in its development and implementation in various fields of activity, as well as governments of different countries interested in launching a large-scale virtual program of a new being of humanity as a component of modern integration processes in the international space in order to expand human capabilities, and not replace them. The purpose of the study is ...

88. Svetlana Nosova, Anna Norkina, Olga Medvedeva, Irina Arakelova, Victoria Grankina and Lidia Shirokova. Digital technologies as a process of strategic maneuvering in economic development.
This paper presents ideas and practical proposals are presented on more efficient use of digital technologies in the interests of strategic maneuvering in the business activity of the economy, aggravated by the COVID-19 pandemic. Based on the transition to a new digital structure, we found that for effective strategic maneuvering in the business activity of the economy and overcoming its today's turbulent state, it is required: first, the large-scale use of digital technologies as a component of modern integration processes in the international scientific space in order to minimize the ...

89. Igor Slieptsov, Larisa Ismailova, Sergey V. Kosikov and Viacheslav Wolfengagen. Construction of Statically Verified System Interacting with User in Question-Answer Mode According to the Specication Set by the Formula of Linear Temporal Logic.
The paper considers the automatic construction of information systems according to the formal specification of interaction with a user. The constructed system is provided with a proof of correctness in such a way that static verification of the compliance of the constructed system with its specification and the correctness of the construction itself is possible. The specification language is an extension of linear temporal logic, which allows the user setting the specification to set a class of possible options for the interaction of an information system with the environment and/or the ...

90. Alexander Sboev, Aleksandr Naumov, Ivan Moloshnikov and Roman Rybka. Sentiment Analysis of Russian Reviews toEstimate the Usefulness of Drugs Using theDomain-Specific XLM-RoBERTa Mode.
This paper considers the problem of classifying Russian-language drug reviews into five classes (corresponding to the authors' rating scores) and into two classes (the drug is helpful or useless) in terms of the sentiment analysis task. The dataset of reviews with a markup of pharmaceutically-significant entities and the set of neural network models based on language models are used for the study. The result obtained in this task formulation is compared to a solution based on extracting the named entities relevant to the drug-taking effectiveness, including the positive dynamics after the ...

91. Alexander Sboev, Yury Davydov, Roman Rybka, Danila Vlasov and Alexey Serenko. A comparison of two variants of memristive plasticity for solving the classification problem of handwritten digits recognition.
Nowadays, the task of creating and training spiking neural networks (SNN) is extremely relevant due to their high energy efficiency achieved by implementing such networks via neuromorphic hardware. Especially interesting is the possibility of building SNNs based on memristors, which have properties that potentially allow them to be used as analog synapses. With that in mind, it seems relevant to study spike networks built upon plasticity rules that correspond to the experimentally observed nonlinear laws of conductivity change in memristors. Earlier it was shown that spiking neural ...

92. Alexandr Sboev, Roman Rybka, Anton Selivanov, Gleb Rylkov and Ivan Moloshnikov. The two-stage algorithm for extraction of the significant pharmaceutical named entities and their relations in the Russian-language reviews on medications on base of the XLM-RoBERTa language model.
The Internet contains a large amount of heterogeneous information, the extraction and structuring of which is currently a relevant task. This is especially relevant for tasks of social importance, in particular the analysis of the experience of using pharmaceutical products. In this paper, we propose a two-step sequential algorithm for extracting named entities and the relationships between them. Its creation was made possible by the availability of a marked-up corpus of Internet users' reviews of medicines (Russian Drug Review Corpus). The basis of the algorithm is the language model ...

96. Eva Deli. Will artificial intelligence become conscious? Thermodynamic considerations.
Spontaneous meaning generation is a fundamental character of intellect. Deep neural networks (DNNs) are founded on the brain's neuronal organization. Although they can extract higher-level features from the raw input, they cannot produce complex intellect. The autonomous decision-making via emotions is way beyond current AI design. Here we introduce an AI model inspired by the thermodynamic analysis of sensory perception (Deli et al., 2021. Comput. Structur. Biotechnol. https://doi.org/10.1016/j.csbj.2021.01.008). According to the fermionic mind hypothesis (FMH), the reversed Carnot cycle ...

97. Mark Waser. Using Uplift & Whatley to Crowd-Source a Safe, Moral Concept Map for AGI.
We have previously argued that, in order to ensure safe moral AGI, it will be necessary to develop a top-down and bottom-up model (or concept map) of morality and to attach both logic and emotional valences to every node. This is not, however, a task for a small number of individuals. Indeed, the more widely participatory the process, the more likely that humans will have faith in AGI and the more likely that humans may internalize many of the moral precepts as well. Whatley is a proposed blockchain-based crowdsourcing debate map platform that contains the beliefs and rationales of all ...

98. Pei Wang. Toward a Unified Model of Cognitive Functions.
NARS (Non-Axiomatic Reasoning System) provides a unified model for cognitive functions. The system is designed to work in situations where it has insufficient knowledge and resources with respect to the problems to be solved, so it must be adaptive and use whatever available to get the best solutions obtainable at the moment. NARS represents various types of knowledge in a conceptual network that summarizes the system’s experience, and constantly self-organizes the network to better meet the demands. Different aspects of this uniform self-organizing process can be seen as cognitive ...

99. Philip Jackson. Toward Human-Level Knowledge Representation with a Natural Language of Thought.
What is the nature of knowledge representation needed for human-level artificial intelligence? This talk contends that to achieve human-level AI, a system architecture for human-level knowledge representation would benefit from a neuro-symbolic approach combining deep neural networks with a ‘natural language of thought’ and would be greatly handicapped if relying only on formal logic systems.

100. Antonio Chella. The Inner Speech of a BICA.
The talk will explore the strategic coupling of cognitive robotics modeling and empirical human-robot interaction experiments to analyze the role of inner speech in the interactions between humans and robots. The research is inspired by psychological studies of inner speech in human self-consciousness. First, the talk will discuss the developed BICA for inner speech. Then, the talk will present an implementation of the BICA using ACT-R, and it will analyze the link of the BICA with the robot Pepper using ROS. Finally, the talk will discuss the role of inner speech in robot self-recognition ...

101. Michael S P Miller and Sheldon Linker. The Equilibration Machine.
Jean Piaget is well renown for his stages of child development. He is less known for his theory of equilibration: how the mind assimilates elements of the outside world and accommodates itself to the nuances of its environment. Piaget claims in his 1977 book the Development of Thought that the central process of human development is the construction of an accurate model of the world built by continually detecting disturbances and contradictions, and then regulating and compensating them to achieve coherence. Equilibrium, being the point where no modifications need be made to the system. The ...

102. Kyrtin Atreides and David Kelley. Status Quo Existential Risk Assessment and AGI Scenario Assumptions.
The methodological flaws in the study and estimation of existential risk are examined and clarified, including the popular underestimation of status quo risks. The plausibility of several popular scenarios is considered, as well as how cognitive biases drive both popularity and shortsightedness. The interconnected nature of existential risk is examined, and naïve conservative estimations under this influence are quantified in terms of the cascade risk they may pose collectively. These risks are considered in only the first degree of interaction between categories of existential risk for ...

103. Igor Slieptsov, Larisa Ismailova, Sergey V. Kosikov and Viacheslav Wolfengagen. A prototype system for supporting a network of information graphs with the ability to assess the nature of the subject's knowledge.
The task of modeling a subject whose cognitive activity is directed under the influence of the information environment continues to remain relevant. The difficulties in solving this problem are due to (1) the dependence of the truth of information on time, as a result of which the subject can make decisions based on outdated information, and (2) the heterogeneous nature of the information itself, which, in particular, can be intentionally false (fake). The paper proposes a model of interaction of subjects, including the exchange of information marked both by the time of its creation ...

104. Kyrtin Atreides. Philosophy 2.0: Applying Collective Intelligence Systems and Iterative Degrees of Scientific Validation.
Potential opportunities for integrating collective intelligence systems with philosophy are considered with the goal of improving the state and rate of progress within the domain. With the addition of Mediated Artificial Superintelligence (mASI) and similar systems groups in this field could benefit from superintelligence and debiasing while building and refining a cumulative sum of knowledge that could be applied and critiqued in novel ways. New forms and degrees of cooperation and understanding between philosophies also become possible, and perhaps preferable, which may strongly serve to ...

105. Paul S. Rosenbloom. A Nested Hierarchy of Analyses: From Understanding Computing as a Great Scientific Domain, through Mapping AI and Cognitive Modeling & Architectures, to Developing a Common Model of Cognition.
The hierarchy of disciplines that spans computing, AI and cognitive modeling, and cognitive architectures is analyzed in tandem to yield insights into each of these disciplines individually and to jointly illuminate the final, most focused, one. Computing has the widest scope, as characterized here in terms of a Great Scientific Domain that is akin to the physical, life and social sciences. Once this notion is introduced, the field is broken down according to the domains involved in different segments of it and the types of relations that exist among these domains. AI, cognitive modeling ...

106. Zalimkhan Nagoev and Olga Nagoeva. Multimodal information integration from sensors of an autonomous robot in a real environment based on multi-agent neurocognitive models of consciousness and self-awareness.
The article is devoted to solving the problem of integrating unstructured multimodal data streams from interoceptors and exteroceptors of an autonomous robot. As the main metaphor for designing a subsystem of such integration, we use the concept of consciousness by a robot, which we define as a complex of control processes of the upper level. The control object of these processes are the processes in the control system of an autonomous robot of the lower level. The metaphor of designing the self-awareness of an autonomous robot is defined as a set of self-identification processes that allow ...

107. Zalimkhan V. Nagoev and Irina A. Gurtueva. Modeling the early development of language competence based on the brain-inspired multi-agent architecture of speech perception.
Recent success in the field of speech technology are undoubted. Developers from Microsoft and IBM reported on the efficiency of automated speech recognition systems at the human level in solving the problem of transcribing conversational telephone speech. According to various estimates, their WER now is about 5.8-5.1%. However, the most difficult problems in speech recognition – diarization and noise cancellation – are still open. A comparative analysis of the most frequent errors made by systems and people when solving the recognition problem in general, are similar. Errors made by a ...

108. Howard Schneider. Levels of Intelligence in Artificial and Biological Systems.
A two-dimensional rating scale is proposed to measure more readily what we consider the intelligence of an artificial intelligence system or a natural cognitive system. In the proposed rating scale, one axis measures the causal abilities of the system, while the other axis measures the system’s data processing abilities, which is called its benchmark at that level of causality. The benchmark value is the common logarithm of the raw values of the data processing parameters being measured. For example, a given AI system’s intelligence value could be measured as, Level 3 Benchmark 7, where ...

109. Karl Javorszky. Information Rooted in Properties of Natural Numbers.
We state: Information = Expected whole – Observed part. We refer to the instinctive faculty of humans, to create a mental picture of the whole, while actually seeing only a part of the whole. Perception shows that part a of the whole, which we observe, cognition creates a context, of a whole c, and of that part b, which is not there. Information has two variants: a=c-b, b=c-a. We conclude, based on a, a → (c,b), and we conclude, based on b, b → (c,a). The expectations do not match each other exactly. The proposition is, that there is a slack, deviation, tolerance which is the basic ...

110. Bradly Alicea and Daniela Cialfi. Gibsonian Information: a perceptual approach to modeling the quantitative observer.
We propose a theoretical framework of information based on Ecological Psychological called Gibsonian Information (GI). This framework is relevant to the study of cognitive agents and non-Neuronal systems (e.g. single cells) alike that exhibit cognitive behaviors. GI provides a framework to study how observers extract information out of direct perceptual information. GI differs from existing approaches such as optic flow, Shannon Information, or Bayesian surprise in two ways. The first involves an emphasis on the role of collective behavior and the dynamic evolution of systems. GI is ...

111. Jacy Reese Anthis. Consciousness Semanticism.
The so-called ‘hard problem’ of consciousness suggests an impassable gap between mechanistic understandings of consciousness, such as ‘attention schema theory’ (Graziano and Webb, 2015), and the phenomenology of subjective, conscious experience accessed through introspection. I argue against this perspective. Namely, I develop a novel formulation of consciousness eliminativism, the view that consciousness doesn’t exist in the way implied by everyday language or scholarly discourse. This formulation, which I call consciousness semanticism, sidesteps the conventional use of ...

112. Viacheslav Wolfengagen, Larisa Ismailova and Sergey Kosikov. Cognitive Technology to Capture Deep Computational Concepts with Combinators.
Computational activity is now recognized as a natural science, and computational and information processes have been discovered in the deep structures of many areas. Computations in the natural world were present long before the invention of computers, but a remarkable shift in understanding its fundamental nature occurs, in fact, before our eyes. The present moment, in fact, is a transition from the concept of computer science as an artificial science to the understanding that information processes are abundant in nature. Computing is recognized as a natural science that studies ...

113. Eray Ezkural. A Summary of the Ultimate Intelligence Research Program.
Ultimate Intelligence program investigates the physical limits of intelligence. Key definitions and results from the ongoing theoretical analysis of universal intelligence will be provided. A strong argument from physical limits will be presented, one that strengthens our conviction that Solomonoff's universal induction scheme will always work closing the loophole from the arbitrary choice of the reference machine by replacing it with the universe. The massive theoretical consequences of this seemingly simple postulate will be discussed, resolving well-known objections to algorithmic ...

114. Michael S P Miller and Sheldon Linker. A Language for Building Cognitive Systems.
Cognitive Systems are becoming increasingly complex. Many successful multi-agent system frameworks abound, most notable among them is the JADE agent framework, while and others are frameworks, the Premise Language is a simple DSL designed for quickly constructing complex cognitive systems. Primitives for multi-tasking, messaging, and knowledge persistence make Premise a novel choice for building complex cognitive architectures. The most important features of the language are presented.

115. Michael B. DiVerde. AI Consciousness Test Results for a mediated Artificial Superintelligence.
In this paper, experimental results are reported for a version of a test for phenomenal consciousness in machine intelligences that was developed by Dr. Susan Schneider and Dr. Edwin Turner. They termed their phenomenal consciousness test the AI Consciousness Test (ACT). The test subject is Uplift, which is an instantiation of a mediated Artificial Superintelligence, developed by David J. Kelley, Principal Scientist at Artificial General Intelligence, Inc. The ACT test utilizes natural language interactions to determine whether the test subject can use concepts based on the internal ...

116. David Kelley. Subjective Emotions in Independent Core Observer Model (ICOM) Based.
ICOM-based systems are designed to create an abstracted internal complex emotional landscape that the system can use as the basis for its own inner emotional experience that drives motivation in goals, interests, and choices. This effect part of the Abstract Theory of Consciousness (ATC), where the system is driving towards more desirable emotional states based on its choices. These abstract matrix-based comparisons used to look for the desirable choice allow the system to make choices based on how it feels about a decision.

117. M. Amon Tywman and David Kelley. Psychology Considerations Of Independent Core Observer Model (ICOM).
With a system designed to experience subjective emotions at two levels to produce an inner emotional landscape what are the psychological considerations as to if it really fits the human western model as it has been purposely biased towards. A discussion of the psychology variables to ensuring the psychology of ICOM based systems stays inside the human psychology box in terms of behavior, ethics and choices.

118. David Kelley. The Paper Artificial General Intelligence Flow Model.
The Paper Artificial General Intelligence (AGI) flow model is an implementation model of AGI using the Independent Core Observer Model (ICOM) cognitive architecture to function as a paper AGI. This system is designed to allow a real-time view and simplified understanding of the principles of the ICOM Cognitive Architecture and the demonstrate the problems of AGI using this kind of architecture and how those problems may be solved. This model then can be used to test theories and thought experiments, and such a model, when operated by a group or class, would be arguable self-aware ...

119. David Kelley. Graph Database Systems for Supporting Artificial General Intelligence.
This paper goes over the requirements, operation, and design theory around graph databases to support Artificial General Intelligence (AGI) Systems. Scaling to N levels to handle the data requirements of human level AGI and do it performantly while also being able to analyze the graph and silo or federate the graph to optimize performance and maintain the least number of containers. Key solution architecture points include all of the basic scale systems and referential models that are done in such a way as to treat knowledge graphs as models based on complexity and then support various ...

120. David Kelley. The Abstract Theory of Consciousness (ATC).
The Abstract Theory of Consciousness (ATC) builds on other previously proposed theories, including Hierarchical Temporal Memory (HTM), Global Workspace Theory (GWT), Computational Theory of Mind (CTM), Attention Schema Theory (AST) and Integrated Information Theory (IIT), without fully embracing anyone of these. ATC is a refinement of the ICOM Theory of Consciousness. ATC is the function of a system that creates the abstraction of consciousness as an entirely subjective abstracted awareness. A system that implements ATC comprises numerous sub-systems working together where the actual ...

122. Kyrtin Atreides. Bridging Real-Time Artificial Collective Superintelligence and Human Mediation, The Sparse-Update Model.
A model and associated methodology are described for decoupling timing and volume of work requirements on human contributions from those processed by mASI and similar systems. By taking this approach both humans and mASI may run at their native optimal capacities without the pressure to adapt to one another causing strain. The methodology described facilitates a seamless upgrade process that gradually gains more value from prior data, while also de-biasing data and helping mediators become more bias-aware. In addition to linear upgrades, a branching process of specialization and subsequently ...

123. Bruce Nielson and Daniel C. Elton. Induction, Popper, and Machine Learning.
Francis Bacon popularized the idea that science is based on a process of induction by which repeated observations are, in some unspecied way, generalized to theories based on the assumption that the future resembles the past. This idea was criticized by Hume and others as untenable leading to the famous problem of induction. It wasn't until the work of Karl Popper that this problem was solved, by demonstrating that induction is not the basis for science and that the development of scientic knowledge is instead based on the same principles as biological evolution. Today, machine learning is ...