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© 2016

Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

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

  • Alexei V. Samsonovich
  • Valentin V. Klimov
  • Galina V. Rybina
Conference proceedings

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Vladimir G. Red’ko
    Pages 9-15
  3. Tatiana Tulupyeva, Alexander Tulupyev, Maksim Abramov, Artur Azarov, Nina Bordovskaya
    Pages 31-38
  4. Alexey Degterev, Mikhail Burtsev
    Pages 47-52
  5. Natalia Efremova, Sergey Tarasenko
    Pages 53-59
  6. Vadim Kazakov, Vladimir Verstov, Lyudmila Zinchenko, Vladimir Makarchuk
    Pages 71-78
  7. Khmilovyi Sergii, Skobtsov Yurii, Vasyaeva Tatyana, Andrievskaya Natalia
    Pages 85-97
  8. Valentin Klimov, Artyom Chernyshov, Anita Balandina, Anastasiya Kostkina
    Pages 99-105
  9. Irina Knyazeva, Vyacheslav Orlov, Vadim Ushakov, Nikolay Makarenko, Boris Velichkovsky
    Pages 107-113
  10. Alexey Leukhin, Max Talanov, Ilia Sozutov, Jordi Vallverdú, Alexander Toschev
    Pages 121-126
  11. Olga Lomakina, Lubov Podladchikova, Dmitry Shaposhnikov, Tatiana Koltunova
    Pages 127-133
  12. Lyudmila Skiteva, Aleksandr Trofimov, Vadim Ushakov, Denis Malakhov, Boris M. Velichkovsky
    Pages 135-140
  13. Tatyana Martynenko, Maksim Privalov, Aleksandr Sekirin
    Pages 141-150

About these proceedings

Introduction

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.

Keywords

Autonomous Cognitive Agents Social Engineering Attacks Spiking Neural Networks Computer Model of Learning Unsupervised Neural Architecture Visual Analytics Methods Attractor-Network Models Place Cell Firing Patterns Genetic Algorithm for Factor Selections Emotional Colors Semantic Cognitive Maps Fmri And MEG Analysis Intelligent Control Systems Integrated Expert Systems Solution of Inverse Problems Adaptive Algorithms Biologically-Inspired Meta-Heuristics Swarm Optimization Methods Nature Inspired Algorithms FIERCES on BICA 2016

Editors and affiliations

  • Alexei V. Samsonovich
    • 1
  • Valentin V. Klimov
    • 2
  • Galina V. Rybina
    • 3
  1. 1.Department 22 “Cybernetics”National Research Nuclear UniversityMoscowRussia
  2. 2.“MEPhI”National Research Nuclear UniversityMoscowRussia
  3. 3.“MEPhI”National Research Nuclear UniversityMoscowRussia

Bibliographic information

  • Book Title Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
  • Book Subtitle Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016)
  • Editors Alexei V. Samsonovich
    Valentin V. Klimov
    Galina V. Rybina
  • Series Title Advances in Intelligent Systems and Computing
  • Series Abbreviated Title Advs in Intelligent Syst., Computing
  • DOI https://doi.org/10.1007/978-3-319-32554-5
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-32553-8
  • eBook ISBN 978-3-319-32554-5
  • Series ISSN 2194-5357
  • Series E-ISSN 2194-5365
  • Edition Number 1
  • Number of Pages X, 306
  • Number of Illustrations 68 b/w illustrations, 6 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Neurosciences
    Cognitive Psychology
    Biomedical Engineering and Bioengineering
  • Buy this book on publisher's site
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