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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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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.