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Biologically Inspired Cognitive Architectures 2019

Proceedings of the Tenth Annual Meeting of the BICA Society

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Alexei V. Samsonovich

    1. Moscow Engineering Physics Institute (MEPhI), Department of Cybernetics, National Research Nuclear University (NRNU), Moscow, Russia

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  • 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 948)

Included in the following conference series:

Conference proceedings info: BICA 2019.

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Table of contents (79 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Narratological Formulation of Story-Form Memory Construction: Applying Genette’s Narrative Discourse Theory

    • Taisuke Akimoto
    Pages 1-10

  3. Story-Centric View on the Mind

    • Taisuke Akimoto
    Pages 11-14

  4. Biologically Inspired Physical Model of the Vocal Tract for the Tasks of Recognition of the Current Psycho-Emotional State of a Person

    • Alexander M. Alyushin
    Pages 15-21

  5. Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level

    • Anton Anikin, Oleg Sychev
    Pages 22-27

  6. External Experimental Training Protocol for Teaching AGI/mASI Systems Effective Altruism

    • Kyrtin Atreides
    Pages 28-35

  7. Semantics Beyond Language

    • Piotr Boltuc, Marta Izabela Boltuc
    Pages 36-47

  8. Configurable Appraisal Dimensions for Computational Models of Emotions of Affective Agents

    • Sergio Castellanos, Luis-Felipe Rodríguez, J. Octavio Gutierrez-Garcia
    Pages 48-53

  9. Overview of Natural Language Processing Approaches in Modern Search Engines

    • Artem Chernyshov, Anita Balandina, Valentin Klimov
    Pages 54-59

  10. Experimental Platform Based on a Virtual Environment for Advanced Study of the Social Behavior of Actors

    • Arthur A. Chubarov
    Pages 60-72

  11. Virtual Listener: Emotionally-Intelligent Assistant Based on a Cognitive Architecture

    • Alexander A. Eidlin, Arthur A. Chubarov, Alexei V. Samsonovich
    Pages 73-82

  12. Practical User and Entity Behavior Analytics Methods for Fraud Detection Systems in Online Banking: A Survey

    • Pavel Slipenchuk, Anna Epishkina
    Pages 83-93

  13. Significance of Emotional Context While Performing Semantic Tasks

    • Alena A. Fetisova, Alexander V. Vartanov
    Pages 94-98

  14. The Semantic Complex Event Processing Based on Metagraph Approach

    • Yuriy E. Gapanyuk
    Pages 99-104

  15. Deceptive Actions and Robot Collision Avoidance

    • Anna Gorbenko, Vladimir Popov
    Pages 105-109

  16. A Cognitive Architecture for a Transportation Robotic System

    • Ricardo Gudwin, Eric Rohmer, André Luis Ogando Paraense, Eduardo Fróes, Wandemberg Gibaut, Ian Oliveira et al.
    Pages 110-116

  17. Reconfigurable Locomotion of Hexapod Robot Based on Inverse Kinematics

    • Vadim A. Gumeniuk, Eugene V. Chepin, Timofei I. Voznenko, Alexander A. Gridnev
    Pages 117-123

  18. Development of Text Data Processing Pipeline for Scientific Systems

    • Anna I. Guseva, Igor A. Kuznetsov, Pyotr V. Bochkaryov, Stanislav A. Filippov, Vasiliy S. Kireev
    Pages 124-136

  19. Environment of Modeling Methods for Indicating Objects Based on Displaced Concepts

    • Larisa Ismailova, Sergey Kosikov, Konstantin Zinchenko, Viacheslav Wolfengagen
    Pages 137-148

  20. Increasing of Semantic Sustainability in the Interaction of Information Processes

    • Larisa Ismailova, Viacheslav Wolfengagen, Sergey Kosikov, Irina Parfenova
    Pages 149-156
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  1. Biologically Inspired Cognitive Architectures 2019

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 Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, 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

  • Moscow Engineering Physics Institute (MEPhI), Department of Cybernetics, National Research Nuclear University (NRNU), Moscow, Russia

    Alexei V. Samsonovich

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