Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

1. Front Matter

   Pages i-x

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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

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.

• 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

• 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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