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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) /

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 L...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Samsonovich, Alexei V. (Editor ), Klimov, Valentin V. (Editor ), Rybina, Galina V. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Advances in Intelligent Systems and Computing, 449
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.