Biologically Inspired Cognitive Architectures (BICA) for Young Scientists : Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) (Advances in Intelligent Systems and Computing)

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists : Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) (Advances in Intelligent Systems and Computing)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 306 p.
  • 言語 ENG
  • 商品コード 9783319325538

Full Description

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.

Contents

Models of Autonomous Cognitive Agents.- Differentiation
of Groundwater Tax Rates as an Element of Improving the Economic Mechanism in
the State Groundwater Extraction Management.- Users' of Information Systems
Protection Analysis from Malefactor's Social Engineering Attacks Taking into Account
Malefactor's Competence Profile.- Character Reasoning of the Social Network
Users on the Basis of the Content Contained on Their Personal Pages.- Bayesian
Optimization of Spiking Neural Network Parameters to Solving the Time Series
Classiffcation Task.- Simulation of Learning in Neuronal Culture.- Unsupervised
Neural Architecture for Saliency Detection: Extended Version.- Active adaptation
of expert-based suggestions in ladieswear recommender system LookBooksClub via Reinforcement
Learning.- Visual Analytics Support for Carbon Nanotube Design Automation.- A
model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial
Processing Based on Even Cyclic Inhibitory Networks.- Feature Selection for Time-Series
Prediction in Case of Undetermined

Estimation.- A New Approach for Semantic Cognitive
Maps Creation and Evaluation

Based on Affix Relations.- On Alternative Instruments for
the fMRI Data Analysis: General Linear

Model Versus Algebraic Topology Approach.- Application
of Hopfield Neural Network to the N-Queens Problem.- Simulation of a Fear-Like
State on a Model of Dopamine System of Rat Brain.- Spatial and Temporal
Parameters of Eye Movements

During Viewing of Affective Images.- MEG Data Analysis
Using the Empirical Mode Decomposition Method.- Evolutional Approach to Image
Processing on the Example of Microsections.- "Cognovisor" for the Human
Brain: Towards Mapping of Thought Processes by a Combination of fMRI and Eye-tracking.-
Dynamic Intelligent Systems Integration and Evolution of Intelligent

Control Systems Architectures.- Automated Planning:
Usage for Integrated Expert Systems Construction.- Some Aspects of Temporal
Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems.- Collaboration of
All-purpose Static Solver, Temporal Reasoning and Simulation Modeling Tools in
Dynamic Integrated Expert Systems.- Some Aspects of Intellectual Tutoring Based
on the Integrated Tutoring Expert Systems Usage.- To the Question of Learnability
of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex
Input Signals.- Causal Interactions Within the Default Mode Network as Revealed
by Low-frequency Brain Fluctuations and Information Transfer Entropy.- Hierarchical
Temporal Memory Implementation with Explicit States Extraction.- Swarm MeLiF:
Feature Selection with Filter Combination Found via Swarm Intelligence.- Agent-based
Model of Interactions in the Community of Investors and Producers.- Patterns of
Spiking Activity of Neuronal Networks in Vitro as Memory Traces.- The
Competency Management Based on Ontologies: Issues of Using in Organizations.- The
Approach to Modeling of Synchronized Bursting in Neuronal Culture Using a Mathematical
Model of a Neuron with Autoregulation Mechanism.- Dynamic Clustering of Connections
Between fMRI Resting State Networks: A Comparison of Two Methods of Data
Analysis.- Neural Network Solution of an Inverse Problem in Raman Spectroscopy of
Multi-Component Solutions of Inorganic Salts.- Prediction of Relativistic
Electrons Flux in the Outer Radiation Belt of the Earth Using Adaptive Methods.-
Comparative Analysis of Residual Minimization and Artificial Neural Networks as
Methods of Solving Inverse Problems: Test on Model Data.- A Biologically
Inspired Architecture for Visual Self-Location.

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