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Biologically Inspired Cognitive Architectures 2023

Proceedings of the 14th Annual Meeting of the BICA Society

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Alexei V. Samsonovich

    1. Cybernetics Department, Moscow Engineering Physics Institute, Moscow, Russia

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    You can also search for this editor in PubMed   Google Scholar

  2. Tingting Liu

    1. College of Science and Technology, Ningbo University, Ningbo, China

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    You can also search for this editor in PubMed   Google Scholar

  • Reports on biologically inspired approaches and their applications
  • Bridges between artificial intelligence, and cognitive, neuro- and social sciences
  • Highlights innovative research addressing the BICA Challenge

Part of the book series: Studies in Computational Intelligence (SCI, volume 1130)

Included in the following conference series:

Conference proceedings info: BICA 2023.

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Table of contents (110 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Invited Abstracts

    1. Front Matter

      Pages 1-1
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    2. Abstracts of Invited Talks Given at BICA*AI 2023

      • Tingting Liu, Alexei V. Samsonovich, Peter Boltuc, Scott E. Fahlman, Sophie Hendrikse, Jan Treur et al.
      Pages 3-13

    3. Selected Presentation Abstracts from BICA*AI 2023

      • Maria Yu. Boboshko, Ekaterina S. Garbaruk, Veronika M. Knyazeva, Marina J. Vasilyeva, Aleksander A. Aleksandrov, Anton Kolonin et al.
      Pages 14-17

  3. Selected Papers

    1. Front Matter

      Pages 19-19
      Download chapter PDF

    2. Dot Density Effects on Stereoscopic Transparency: A Cross-Correlation Model Analysis

      • Saori Aida
      Pages 21-26

    3. An Examination of Visual Influences on Sense of Ownership and Agency

      • Saori Aida, Yuui Ogawa
      Pages 27-32

    4. Super-Performance: Sampling, Planning, and Ecological Information

      • Bradly Alicea
      Pages 33-40

    5. ADHD-Related Features of Eye Fixations While Simulated Driving with and Without Working Memory Load: A Pilot Study

      • Julia Altshuler, Valeriia Demareva
      Pages 41-49

    6. A Biologically Inspired Approach to Protecting and Verifying the Authenticity of Important Documents

      • Alexander M. Alyushin, Victor M. Alyushin, Sergey V. Dvoryankin, Lyubov V. Kolobashkina
      Pages 50-55

    7. Comparison of Biologically Inspired and Modeling Approaches for Predicting Possible Condition Change in Critical Occupational Workers

      • Mikhail V. Alyushin, Lyubov V. Kolobashkina, Vladislav D. Bitney, Andrey V. Okhlopkov
      Pages 56-61

    8. Integrated Discounted Future Prediction as Auxiliary Task for A3C

      • Andrey Andronenko, Mikhail Avshalumov, Vyacheslav Demin
      Pages 62-69

    9. Automated Bias and Indoctrination at Scale… Is All You Need

      • Kyrtin Atreides
      Pages 70-82

    10. The COPPER Babysitter Robot, a Childcare Monitoring System from the First year of Age

      • Ruth A. Bastidas Alva, Angie L. Herrera Poma, Valeryia E. Perez Villa, Frank W. Zarate Peña
      Pages 83-95

    11. Semantic Social Web Applications: Wiki Web

      • Aleksandr Belozerov, Valentin Klimov
      Pages 96-103

    12. Development of a Network Traffic Anomaly Detection System Based on Neural Networks

      • Natalia Bespalova, Alexey Ershov, Sergey Sitnikov, Sergey Nechaev, Margarita Vanina, Victor Radygin et al.
      Pages 104-112

    13. Architecture of an Expert System to Support Diagnostic Decisions for Hereditary Diseases

      • Nikolay A. Blagosklonov, Boris A. Kobrinskii
      Pages 113-120

    14. System Analysis of Educational Digital Ecosystems in the Agro-Industrial Complex of Russia

      • Vladimir Budzko, Victor Medennikov
      Pages 121-134

    15. System Analysis of Subject Identification of Digital Twin in Agriculture

      • Vladimir Budzko, Victor Medennikov, Petr Keyer
      Pages 135-142

    16. Topological Analysis of Protein Surfaces and Its Role in the Development of New Medicines

      • Oleg V. Bystrov, Sergey D. Kulik
      Pages 143-150
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About this book

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses 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. It 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, Moscow Engineering Physics Institute, Moscow, Russia

    Alexei V. Samsonovich

  • College of Science and Technology, Ningbo University, Ningbo, China

    Tingting Liu

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