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Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

Proceedings of the 11th Annual Meeting of the BICA Society

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alexei V. Samsonovich

    1. Cybernetics Department, National Research Nuclear University, Moscow, Russia

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  2. Ricardo R. Gudwin

    1. University of Campinas, Campinas, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  3. Alexandre da Silva Simões

    1. Institute of Science and Technology, São Paulo State University (Unesp), Sorocaba, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  • Reports on biologically inspired approaches to replicate human mind function
  • Bridges together artificial intelligence, cognitive, neuro- and social sciences
  • Addresses the topic of “biological inspiration" broadly, highlighting its application to cognitive robotics and machine learning

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1310)

Included in the following conference series:

Conference proceedings info: BICA 2020.

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Table of contents (75 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Acoustic Pattern Recognition Technology Based on the Viola-Jones Approach for VR and AR Systems

    • Alexander M. Alyushin, Sergey V. Dvoryankin
    Pages 1-8

  3. Correlation of a Face Vibroimage Informative Parameters with Characteristics of a Person’s Functional State When Using VR and AR Technical Means

    • Victor M. Alyushin
    Pages 9-14

  4. Methodologies and Milestones for the Development of an Ethical Seed

    • Kyrtin Atreides, David J. Kelley, Uplift Masi
    Pages 15-23

  5. Design of a Transcranial Magnetic Stimulation System with the Implementation of Nanostructured Composites

    • Gennady Baryshev, Yuri Bozhko, Igor Yudin, Aleksandr Tsyganov, Anna Kainova
    Pages 24-31

  6. Application of Information Measuring Systems for Development of Engineering Skills for Cyber-Physical Education

    • Gennady Baryshev, Valentin Klimov, Aleksandr Berestov, Anton Tokarev, Valeria Petrenko
    Pages 32-39

  7. Principles of Design of a Learning Management System for Development of Economic Skills for Nuclear Engineering Education

    • Gennady Baryshev, Aleksandr Putilov, Dmitriy Smirnov, Aleksandr Tsyganov, Vladimir Chervyakov
    Pages 40-48

  8. Post-quantum Group Key Agreement Scheme

    • Julia Bobrysheva, Sergey Zapechnikov
    Pages 49-55

  9. Uncanny Robots of Perfection

    • Piotr (Peter) Boltuc, Thomas P. Connelly
    Pages 56-68

  10. Self and Other Modelling in Cooperative Resource Gathering with Multi-agent Reinforcement Learning

    • Vasilii Davydov, Timofei Liusko, Aleksandr I. Panov
    Pages 69-77

  11. Eye Movement Correlates of Foreign Language Proficiency in Russian Learners of English

    • Valeriia Demareva, Sofia Polevaia, Julia Edeleva
    Pages 78-83

  12. Development of a Laboratory Workshops Management Module as Part of a Learning Support System for the ‘‘Decision-Making Theory’’ Course

    • Anastasia Devyatkina, Natalia Myklyuchenko, Anna Tikhomirova, Elena Matrosova
    Pages 84-90

  13. Algorithm for Constructing Logical Neural Networks Based on Logical Various-Valued Functions

    • Dmitriy Dimitrichenko
    Pages 91-96

  14. The Electroencephalogram Based Classification of Internally Pronounced Phonemes

    • Yuliya Gavrilenko, Daniel Saada, Eugene Ilyushin, Alexander V. Vartanov, Andrey Shevchenko
    Pages 97-105

  15. “Loyalty Program” Tool Application in Megaprojects

    • Anna Guseva, Elena Matrosova, Anna Tikhomirova, Nikolay Matrosov
    Pages 106-114

  16. Using Domain Knowledge for Feature Selection in Neural Network Solution of the Inverse Problem of Magnetotelluric Sounding

    • Igor Isaev, Eugeny Obornev, Ivan Obornev, Eugeny Rodionov, Mikhail Shimelevich, Vladimir Shirokiy et al.
    Pages 115-126

  17. Friction Model Identification for Dynamic Modeling of Pneumatic Cylinder

    • Vladimir I. Ivlev, Sergey Yu. Misyurin, Andrey P. Nelyubin
    Pages 127-137

  18. Neurophysiological Features of Neutral and Threatening Visual Stimuli Perception in Patients with Schizophrenia

    • Sergey I. Kartashov, Vyacheslav A. Orlov, Aleksandra V. Maslennikova, Vadim L. Ushakov
    Pages 138-142

  19. Logical Circuits of a ΣΠ-Neuron Model

    • Mukhamed Kazakov
    Pages 143-148

  20. Study of Neurocognitive Mechanisms in the Concealed Information Paradigm

    • Yuri I. Kholodny, Sergey I. Kartashov, Denis G. Malakhov, Vyacheslav A. Orlov
    Pages 149-155
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  1. Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

Keywords

About this book

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration. 

Editors and Affiliations

  • Cybernetics Department, National Research Nuclear University, Moscow, Russia

    Alexei V. Samsonovich

  • University of Campinas, Campinas, Brazil

    Ricardo R. Gudwin

  • Institute of Science and Technology, São Paulo State University (Unesp), Sorocaba, Brazil

    Alexandre da Silva Simões

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