Foundations on Natural and Artificial Computation

Name: Foundations on Natural and Artificial Computation | 4th International Work-conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part I
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4th International Work-conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, La Palma, Canary Islands, Spain, May 30 - June 3, 2011. Proceedings, Part I

José M. Ferrández José Ramón Álvarez Félix de la Paz Fco. Javier Toledo(Herausgeber*in)

Springer (Verlag)

Erschienen am 12. Mai 2011

XXV, 566 Seiten

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Inhalt

Title Page
Preface
Organization
Table of Contents
Complex Neuro-Cognitive Systems
Introduction
Top-Down and Bottom-Up Approaches
Complex Systems
Nonlinear Dynamical Analysis
Terminology
An Example
Nonlinear Time Series Analysis
Explanation by Nonlinear Dynamic Analysis
Conclusions
References
A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario
Introduction
Behavioural Markov Model
Analysis of the Markov Model
Results and Discussion
References
General Theory of Exobehaviours: A New Proposal to Unify Behaviors
Introduction
A Physicalist Classification of Behaviors
The Cause of Exobehaviors
The Microscopic Interpretation of Fas
The Mathematical Description of Fas
Postulates
Discussion and Conclusions
References
Bio-inspired Decentralized Self-coordination Algorithms for Multi-heterogeneous Specialized Tasks Distribution in Multi-Robot Systems
Introduction
Related Work
Response Threshold Model
Formal Description of the Problem. Experimental Scenario
Formal Description of the Problem
Experimental Scenario
Simulation Results
Distribution of Robots in Regions
Task Allocation
Conclusions and Further Work
References
An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules
Introduction
Basic Concepts
Grammatical Evolution Guided by Reinforcement and Semantic Rules
Incremental Model and Environment
Incremental Model of Lexicon Consensus
Environment and Experiments
Results
Conclusions
References
Towards an Evolutionary Design of Modular Robots for Industry
Introduction
Heterogeneous Modular System
Evolutionary Design System
Experiments
Conclusions
References
Grammar-Guided Evolutionary Construction of Bayesian Networks
Introduction
The EvoBANE System
The CFG Generator
The Fitness Calculator
Results
Conclusions
References
A Novel Linear Cellular Automata-Based Data Clustering Algorithm
Introduction
One-Dimensional Cellular Automata-Based Clustering
Experimental Results
Clustering Results with Synthetic Data
Clustering Results with the Iris Dataset
Conclusions and Further Work
References
Probabilistic versus Incremental Presynaptic Learning in Biologically Plausible Synapses
Introduction
Methods
Results
Biological Plausibility of Presynaptic Rule Incremental Version
Biological Plausibility of the Probabilistic Version of Presynaptic Rule
Conclusion
References
Dynamics of a Three Neurons Network with Excitatory-Inhibitory Interactions
Introduction
The Network Model
Dynamic Behaviour
Experimental Results
Case 1
Case 2
Case 3
Conclusions
References
The Reversal Potential of Inhibitory Synapses Strongly Impacts the Dynamics of Neural Networks
Introduction
Methods
Model Description
Synaptic Coupling
Results
Effects of Couplings on the Networks Dynamics
Reversal Potential of the Inhibitory Synapses and Networks Dynamics
Conclusions
References
Doman's Inclined Floor Method for Early Motor Organization Simulated with a Four Neurons Robot
Introduction
Architecture of the Robot
Architecture and Connectivity of the Robotic System
Neural Organization of the Robot
Results with Different Kinds of Stimuli
Practical Implications
Conclusion
References
On the Biological Plausibility of Artificial Metaplasticity
Introduction
Synaptic Plasticity and Metaplasticity
Intrinsic Plasticity
Metaplasticity and Shannon Information Theory
Backpropagation Algorithm and AMP
Mathematical Definitions
AMP in Gradient Descent Algorithm
AMP in MLP Training: AMMLP
Discussion
Conclusion
References
Dynamic Model of the dLGN Push-Pull Circuitry
Introduction
The Problem
Computational Methods
Model Composition
Coordinate System and Topology
Connectivity
Input and Output Models
Neuron Model
Results
Impact of Lateral Inhibition in LGN Processing
Perception of Stimulus Size Depending on Stimulus Contrast
Impact of Tonic and Bursting Activity in LGN Processing
Discussion
References
Task-Driven Species in Evolutionary Robotic Teams
Previous Work
Asynchronous Situated Coevolution
Collective Gathering and Construction Task
Conclusions
References
Concurrent Modular Q-Learning with Local Rewards on Linked Multi-Component Robotic Systems
Introduction
Modular Concurrent Q-Learning
Reward and Termination Functions
Veto-Based Action Selection
Hose Transport Application
Modules
Experiments
Conclusions
References
Coordination of Communication in Robot Teams by Reinforcement Learning
Introduction
Formal Definitions
Multi-Robot Communication System
Optimal Communication Efficiency
Optimal Multi-Robot Communication System
Dynamics of Convergence to Lexical Consensus by Means of Reinforcement Learning
General Description of the Process
Algorithms for the Updating of the Association Matrices
Experimental Results
Conclusions and Further Research Work
References
Self-organized Multi-agent System for Robot Deployment in Unknown Environments
Introduction
System Description
Camera-Agents
Robot
Tasks Carried Out by the Camera-Agents
Dynamic Neighbourhood Detection
Distributed Route Planning
Support to Robot Navigation
Implementation and Experimental Results
Experimental Setup and Results
Summary, Conclussions, and Future Work
References
Selective Method Based on Auctions for Map Inspection by Robotic Teams
Introduction
Description of the Proposed Method
Objective
Prerequisites
Elements and Structures
How It Works
Experimental Results
Conclusions and Future Work
References
Study of a Multi-Robot Collaborative Task through Reinforcement Learning
Introduction
Collaborative Object Movement
Description of the Experimental Task
Q-Learning Method
States and Actions
Experimental Results
Nine States Configuration Approach
Four States Refinement
Conclusion and Future Works
References
Design of Social Agents
Introduction
Methods
Settings of the Interactions
Model of the Agents
Design Principles
Evolution of Agents
Results
Discussion
References
Event-Based System for Generation of Traffic Services in Road Congestions
Introduction
Road Congestions
Event Modelling and Processing
Event Processing
Traffic Congestion Detection Services
System Architecture / Event-Based System
Fusion Model
Multiple-Sensor Data Fusion
Implementation and Evaluation
Conclusions
References
User-Friendly Robot Environment for Creation of Social Scenarios
Introduction
Robot Software Framework
Textual Language
Robot Commands
Creating Behaviors with Incremental Complexity
Using Sensory Information
Hybrid Command Structure
Example of Social Behavior Creation - User Point of View
Summary and Future Work
References
Online Feature Weighting for Human Discrimination in a Person Following Robot
Introduction
System Overview
Target Model
Target Discrimination
Online Feature Weighting
Experimental Results
Conclusions
References
Improving Area Center Robot Navigation Using a Novel Range Scan Segmentation Method
Introduction
Line Extraction Review
Line Estimation
Measures Model
EKF for Line Estimation in Polar Coordinates
Clustering
Merging
Improving Area Center Navigation
Conclusions and Future Work
References
Analysis of EEG Mapping Images to Differentiate Mental Tasks in Brain-Computer Interfaces
Introduction
Image Obtention Protocol
Classification of Mental Tasks Using Computer Vision
Frequency Choice
Classifier
Results
Conclusion
References
Design of a Hemispherical Antenna Array Receiver for Medical Applications
Introduction
Theoretical Analysis
Problem Statement
Beamforming Technique
Matlab Simulation Results
Conclusions and Future Work
References
Long Term Modulation and Control of Neuronal Firing in Excitable Tissue Using Optogenetics
Introduction
Channelrhodopsin-2
From Probe to Therapeutic Tool
Discussion and Conclusions
References
Classification Tree Generation Constrained with Variable Weights
Introduction
Background, State-of-the-Art
Our Proposed Methodology
Examples from Biology and Linguistics
Biological Examples
Linguistic Examples
Conclusion
References
Arithmetical Metabolic P Systems
Introduction
Arithmetical MP Systems
Simple Arithmetical MP Systems
Adding Membranes
Multicompartimental Setting
Conclusions and a Glimpse on LAMP
References
Simulating Accepting Networks of Evolutionary Processors with Filtered Connections by Accepting Evolutionary P Systems
Introduction
Accepting Networks of Evolutionary Processors with Filtered Connections
Accepting Evolutionary P Systems
A Simulation of ANEPFCs by AEPSs
Conclusions and Future Work
References
Towards the Automatic Programming of NEPs
Motivation
Introduction to AGE/CGE
Introduction to NEPs
NEPs: Definitions and Key Features.
Automatic Programming of NEPs
Testing the Framework
Conclusions and Futher Research Lines
References
Bio-inspired Grammatical Inference
Introduction
Grammatical Inference Studies
Formal Models in Grammatical Inference
Language Learning Problem
Linguistic Studies
Data Available to Children
Location of Natural Languages in the Chomsky Hierarchy
Bio-inspired Grammatical Inference
Conclusions
References
Differential Evolution for Protein Structure Prediction Using the HP Model
Brief Introduction to the Problem of Protein Structure Prediction
Previous Work with Evolutionary Algorithms
Initial Population, Space of Feasible Conformations and Fitness Alternatives
Other Alternatives of Optimization
Methods. Differential Evolution
Encoding and Fitness
Repair Process
Results
Conclusions
References
A Preliminary Study on the Prediction of Human Protein Functions
Introduction
Models and Methods
The Human Proteome Dataset
Input Vectors
Output Vectors
Experiments
One-versus-All Experiments
Tournament Learning
Multi-label Learning
Discussion and Conclusion
References
Evaluating Case Selection Algorithms for Analogical Reasoning Systems
Introduction
Related Works
Evaluation Methodology and Case Selection Methods
Notation
Evaluation Methodology
Case Selection Methods
Experiments and Results
Conclusions
References
On the Use of Human-Guided Evolutionary Algorithms for Tackling 2D Packing Problems
Introduction
Problem Definition and Background
A Human-Guided Hybrid Evolutionary Approach
The Hybrid Algorithm
Adding Human Guidance
Experiments
Conclusions
References
Particle Swarm Optimisation for Open Shop Problems with Fuzzy Durations
Introduction
Open Shop Scheduling with Uncertain Durations
Uncertain Durations
Fuzzy Open Shop Scheduling
Particle Swarm Optimization for the FOSP
Position Representation and Evaluation
Particle Movement and Velocity
Experimental Results
Conclusions and Future Work
References
Design of Emergent and Adaptive Virtual Players in a War RTS Game
Introduction and Related Work
The Game
Notes on Specific Issues
Virtual Player Design
General Issues
A Two Phases Process
On-Line Phase: User Modeling
Off-Line Phase: Evolutionary Optimization
Experimental Analysis
Conclusions
References
Decision Tree-Based Algorithms for Implementing Bot AI in UT2004
Introduction and Related Work
Proposals to Control the Bot AI
A Hand-Made Decision Tree-Based AI
A Genetic Programming Based Approach
Experimental Analysis
General Issues
The Hand Made Strategy
The GP Approach
A Subjective Comparison between the Two Proposals
Related Work
Conclusions and Further Work
References
Neural Networks versus Genetic Algorithms as Medical Classifiers
Introduction
Automatic Classification Techniques and Diagnosis
Genetic Algorithms for Diagnosis
Neural Networks for Diagnosis
Experimentation
Urological Tests Database
Neural Network and Genetic Algorithm Based Classifiers Implemented
Conclusions
References
Complexity Changes in Human Wrist Temperature Circadian Rhythms through Ageing
Introduction
Experimental Setup
Data Acquisition and Preprocessing
Statistical Analysis and Surrogates
Complexity Measures
Approximate Entropy
LZ Complexity
Instantaneous Phase Complexity
Results and Discussion
Conclusions
References
Radial Basis Function Neural Network for Classification of Quantitative EEG in Patients with Advanced Chronic Renal Failure
Introduction
Methods
Patients
Recording and Visual Analysis of the EEG
Quantitative Analysis of the EEG
Artificial Neural Network Analysis
Statistics
Results
EEG Results
ANN Results
Conclusions
References
Bayesian Network-Based Model for the Diagnosis of Deterioration of Semantic Content Compatible with Alzheimer's Disease
Introduction
Justification for the Technique
Proposal for the Diagnosis
Influence Diagram
Conclusions
References
Localization and Segmentation of the Optic Nerve Head in Eye Fundus Images Using Pyramid Representation and Genetic Algorithms
Introduction
Method Description
Extracting Subwindow by Gaussian Pyramid
Obtaining Interest Points by Laplacian Pyramid
Obtaining Papillary Elliptic Contours by Genetic Algorithms
Experiments and Results
Experiment Results
Evaluation and Comparison of Results
Conclusions and Future Work
References
A Multisensory Monitoring and Interpretation Framework Based on the Model-View-Controller Paradigm
Introduction
Extension of MVC for Monitoring and Interpretation Tasks
Definition of the Framework
Layers of the Framework
Definition of the Common Model
Conclusions
References
Agent-Based Development of Multisensory Monitoring Systems
Introduction
Description of the VigilAgent Methodology
A Case Study: Access Control
System Specification Phase
Architectural Design Phase
Detailed Design Phase
Implementation and Deployment Phases
Conclusions
References
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Introduction
Proposed Algorithm
Trajectory Segmentation
Growing Neural Gas
Prototype Trajectories
Results and Discussion
Clustering Performance
Trajectories in a Scene
Conclusions
References
Human Action Recognition Based on Tracking Features
Introduction
The MAPF Algorithm
Particle Filters for Visual Tracking
Memetic Algorithms
The Hybrid Method: Memetic Algorithm Particle Filter
Structure of MAPF Output
Feature Extraction
Experimental Results
Conclusions and Future Work
References
Modeling and Discovering Occupancy Patterns in Sensor Networks Using Latent Dirichlet Allocation
Introduction
Related Works
Building the Representation of the Long-Term Behavior Model
Generating the LDA Model
Experimental Results
Conclusions and Future Work
References
Multicamera Action Recognition with Canonical Correlation Analysis and Discriminative Sequence Classification
Introduction
System Overview
Canonical Correlation Analysis
Classical Definition
Probabilistic Interpretation
Hidden Conditional Random Fields
Experiments
Experimental Setup
Results and Discussion
Conclusions
References
Low-Power Bed / Seat Occupancy Sensor Based on EMFi
Introduction
Approaching the Occupancy Detection Issue
Application Scenario
Bed/Seat Occupancy Detector Issues
EMFi Transducer Properties and Features
Design and Implementation of EMFi Based Occupancy Sensor
Design of the Sensor Device
Implementation and Integration in the Wireless Sensor Node
Results
Results for the Occupancy Detection
Power Consumption
Discussion and Conclusions
References
Protocol Integration for Intelligent Monitoring Applications in Wireless Sensor Networks
Introduction
Previous Work
Synchronized MAC
SA-MAC Protocol Overview
Fuzzy Logic
Network Routing
Fuzzy-Logic-Based Routing
Combining Synchronized MAC with Intelligent Routing
Performance Evaluation
Conclusions
References
Event Detection and Fusion Model for Semantic Interpretation of Monitored Scenarios within ASIMS Architecture
Introduction
ASIMS Architecture
EventDetection
EventFusion
Conclusions
References
Proposal for Extending New Linked Data Rules for the Semantic Web
Introduction
Considerations about the Current Four Rules
Proposal for New Linked Data Rules
Conclusions
References
$AWARD^prime$: An Adaptive Web Based-Tool Prototype for Neurocognitive Individualized Assessment and Training
Introduction
Application Domain
Adaptive Web Tools
The$AWARD^prime$ Adaptive Tool
Conclusions and Future Works
References
Automated Mapping of Observation Archetypes to SNOMED CT Concepts
Introduction
Materials
Archetypes
SNOMED CT
UMLS
Methods
Preprocessing
Mapping of the Root Node
Mapping of the Element Nodes
Mapping of Value Nodes
Evaluation
Results
Discussion and Future Work
Conclusions
References
Author Index

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