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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016)

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Alexei V. Samsonovich

    1. Department 22 “Cybernetics”, National Research Nuclear University, Moscow, Russia

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  2. Valentin V. Klimov

    1. “MEPhI”, National Research Nuclear University, Moscow, Russia

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    You can also search for this editor in PubMed   Google Scholar

  3. Galina V. Rybina

    1. “MEPhI”, National Research Nuclear University, Moscow, Russia

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  • Reports on cutting-edge topics on biologically inspired cognitive architectures
  • Offers a snapshot of current research towards computational replication of the human mind
  • Bridges together different disciplines, including engineering, computer science and biology
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 449)

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Table of contents (38 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. The Cognitive Architecture Within the Natural-Constructive Approach

    • Olga Chernavskaya
    Pages 1-8

  3. Models of Autonomous Cognitive Agents

    • Vladimir G. Red’ko
    Pages 9-15

  4. Differentiation of Groundwater Tax Rates as an Element of Improving the Economic Mechanism in the State Groundwater Extraction Management

    • Ekaterina Golovina, Maksim Abramov, Artur Azarov
    Pages 17-24

  5. Users’ of Information Systems Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence Profile

    • Artur Azarov, Maksim Abramov, Tatiana Tulupyeva, Alexander Tulupyev
    Pages 25-30

  6. Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages

    • Tatiana Tulupyeva, Alexander Tulupyev, Maksim Abramov, Artur Azarov, Nina Bordovskaya
    Pages 31-38

  7. Bayesian Optimization of Spiking Neural Network Parameters to Solving the Time Series Classification Task

    • Alexey Chernyshev
    Pages 39-45

  8. Simulation of Learning in Neuronal Culture

    • Alexey Degterev, Mikhail Burtsev
    Pages 47-52

  9. Biologically Plausible Saliency Detection Model

    • Natalia Efremova, Sergey Tarasenko
    Pages 53-59

  10. Active Adaptation of Expert-Based Suggestions in Ladieswear Recommender System LookBooksClub via Reinforcement Learning

    • Nikita Golubtsov, Daniel Galper, Andrey Filchenkov
    Pages 61-69

  11. Visual Analytics Support for Carbon Nanotube Design Automation

    • Vadim Kazakov, Vladimir Verstov, Lyudmila Zinchenko, Vladimir Makarchuk
    Pages 71-78

  12. A Model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks

    • Zoia Kharybina
    Pages 79-84

  13. Feature Selection for Time-Series Prediction in Case of Undetermined Estimation

    • Khmilovyi Sergii, Skobtsov Yurii, Vasyaeva Tatyana, Andrievskaya Natalia
    Pages 85-97

  14. A New Approach for Semantic Cognitive Maps Creation and Evaluation Based on Affix Relations

    • Valentin Klimov, Artyom Chernyshov, Anita Balandina, Anastasiya Kostkina
    Pages 99-105

  15. On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach

    • Irina Knyazeva, Vyacheslav Orlov, Vadim Ushakov, Nikolay Makarenko, Boris Velichkovsky
    Pages 107-113

  16. Application of Hopfield Neural Network to the N-Queens Problem

    • Andrei A. Lapushkin
    Pages 115-120

  17. Simulation of a Fear-like State on a Model of Dopamine System of Rat Brain

    • Alexey Leukhin, Max Talanov, Ilia Sozutov, Jordi Vallverdú, Alexander Toschev
    Pages 121-126

  18. Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images

    • Olga Lomakina, Lubov Podladchikova, Dmitry Shaposhnikov, Tatiana Koltunova
    Pages 127-133

  19. MEG Data Analysis Using the Empirical Mode Decomposition Method

    • Lyudmila Skiteva, Aleksandr Trofimov, Vadim Ushakov, Denis Malakhov, Boris M. Velichkovsky
    Pages 135-140

  20. Evolutional Approach to Image Processing on the Example of Microsections

    • Tatyana Martynenko, Maksim Privalov, Aleksandr Sekirin
    Pages 141-150
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Keywords

About this book

This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Architectures (BICA). The chapters are written by both world-recognized experts (including Antonio Chella, Olivier Georgeon, Oliver Kutz, Antonio Lieto, David Vernon, Paul Verschure, and others) and young researchers. Together, they constitute a good mixture of new findings with tutorial-based reviews and position papers, all presented at the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures (FIERCES on BICA 2016), held April 21-24 in Moscow, Russia. Most works included here cross boundaries between disciplines: from neuroscience to social science, from cognitive science to robotics, and from bioengineering to artificial intelligence. A special emphasis is given to novel solutions to urgent problems that have been resisting traditional approaches for decades. Intended for providing readers with an update on biologically inspired approaches towards the computational replication of all the essential aspects of the human mind (the BICA Challenge), this book is expected to foster lively discussions on the topic and stimulate cross-disciplinary, cross-generation and cross-cultural collaboration.

Editors and Affiliations

  • Department 22 “Cybernetics”, National Research Nuclear University, Moscow, Russia

    Alexei V. Samsonovich

  • “MEPhI”, National Research Nuclear University, Moscow, Russia

    Valentin V. Klimov, Galina V. Rybina

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