Hybrid Artificial Intelligence Systems

This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008.

The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.

Klappentext

The Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) presented the most recent developments in the dynamically expanding realm of symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques. Hybrid intelligent systems have become incre- ingly popular given their capabilities to handle a broad spectrum of real-world c- plex problems which come with inherent imprecision, uncertainty and vagueness, high-dimensionality, and non stationarity. These systems provide us with the oppor- nity to exploit existing domain knowledge as well as raw data to come up with prom- ing solutions in an effective manner. Being truly multidisciplinary, the series of HAIS workshops offers a unique research forum to present and discuss the latest theoretical advances and real-world applications in this exciting research field. This volume of Lecture Notes on Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2008 held in University of Burgos, Burgos, Spain, Sept- ber 2008 The global purpose of HAIS conferences has been to form a broad and interdis- plinary forum for hybrid artificial intelligence systems and associated learning pa- digms, which are playing increasingly important roles in a large number of application areas. Since its first edition in Brazil in 2006, HAIS has become an important forum for researchers working on fundamental and theoretical aspects of hybrid artificial intel- gence systems based on the use of agents and multiagent systems, bioinformatics and bio-inspired models, fuzzy systems, artificial vision, artificial neural networks, opti- zation models and alike.

Inhalt

Invited Talks.- Data Mining: Algorithms and Problems.- Do Smart Adaptive Systems Exist? Hybrid Intelligent Systems Perspective.- Design of Experiments in Computational Intelligence: On the Use of Statistical Inference.- Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches.- Agents and Multi-agent Systems.- Multi-agent ERA Model Based on Belief Interaction Solves Wireless Sensor Networks Routing Problem.- Multi-agent System for Management and Monitoring of Routes Surveillance.- Classification Agent-Based Techniques for Detecting Intrusions in Databases.- Hybrid Multi-Agent Architecture (HoCa) Applied to the Control and Supervision of Patients in Their Homes.- JADE/LEAP Agents in an Aml Domain.- Design Patterns for Combining Social and Individual Intelligences on Modular-Based Agents.- Experiments in Multi Agent Learning.- Agent-Based Simulation of Business Processes in a Virtual World.- Temporal-Bounded CBR for the Management of Commitments in RT-Agents.- Evolutionary Computation.- A Constrained Dynamic Evolutionary Algorithm with Adaptive Penalty Coefficient.- Enhanced Cooperative Co-evolution Genetic Algorithm for Rule-Based Pattern Classification.- Learning User Profile with Genetic Algorithm in AmI Applications.- Unsupervised Genetic Algorithm Deployed for Intrusion Detection.- Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.- Hybrid Multi-population Collaborative Asynchronous Search.- An Evolutionary Approach for Tuning Artificial Neural Network Parameters.- A Hybrid Evolutionary Multiobjective Approach for the Component Selection Problem.- A New Quantum Evolutionary Local Search Algorithm for MAX 3-SAT Problem.- Neuro-evolutionary Decision Support System for Financial Time Series Analysis.- Connectionist Models.- Optimization of Knowledge in Companies Simulating M6PROK© Model Using as Hybrid Methodology a Neuronal Network and a Memetic Algorithm.- STARMIND: Automated Classification of Astronomical Data Based on an Hybrid Strategy.- Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks.- Parameter Extraction from RVS Stellar Spectra by Means of Artificial Neural Networks and Spectral Density Analysis.- Supervised Classification Fuzzy Growing Hierarchical SOM.- Self Optimizing Neural Networks SONN-3 for Classification Tasks.- Efficient MRI Reconstruction Using a Hybrid Framework for Integrating Stepwise Bayesian Restoration and Neural Network Models in a Memory Based Priors System.- Traffic Data Preparation for a Hybrid Network IDS.- Optimization Systems.- Comparing Hybrid Versions of SS and DE to Solve a Realistic FAP Problem.- PSO for Selecting Cutting Tools Geometry.- A Hybrid Ant-Based System for Gate Assignment Problem.- Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction.- Estimation Using Differential Evolution for Optimal Crop Plan.- Hybrid Metaheuristics for Global Optimization: A Comparative Study.- Generating Routes with Bio-inspired Algorithms under Uncertainty.- Fuzzy Logic Systems.- Computer-Assisted Diagnosis of Primary Headaches.- Ambient Temperature Modelling through Traditional and Soft Computing Methods.- Providing Dynamic Instructional Adaptation in Programming Learning.- Modelling Radial Basis Functions with Rational Logic Rules.- Classification and Classifiers.- On Combining Classifiers by Relaxation for Natural Textures in Images.- An Ensemble Approach for the Diagnosis of Cognitive Decline with Missing Data.- Fusers Based on Classifier Response and Discriminant Function - Comparative Study.- Simple Clipping Algorithms for Reduced Convex Hull SVM Training.- A WeVoS-CBR Approach to Oil Spill Problem.- Cluster Analysis.- Clustering Likelihood Curves: Finding Deviations from Single Clusters.- Unfolding the Manifold in Generative Topographic Mapping.- Evaluation of Subspace Clustering Quality.- Clustering by Chaotic Neural Networks with Mean Field Calculated Via Delaunay Triangulation.- Video and Image Analysis.- Image Fusion Algorithm Using RBF Neural Networks.- Behaviour of Texture Features in a CBIR System.- Object Tracking Using Grayscale Appearance Models and Swarm Based Particle Filter.- Extraction of Geometrical Features in 3D Environments for Service Robotic Applications.- Hybrid GNG Architecture Learns Features in Images.- Learning Systems, Algorithms and Applications.- Information-Theoretic Measures for Meta-learning.- An EM-Based Piecewise Linear Regression Algorithm.- On the Use of Linear Cellular Automata for the Synthesis of Cryptographic Sequences.- Ontology-Based Deep Web Data Sources Selection.- A Type-2 Fuzzy Set Recognition Algorithm for Artificial Immune Systems.- Symbolic Hybrid Programming Tool for Software Understanding.- Hybrid Systems Based on Negotiation and Social Network Modelling.- Characterizing Massively Multiplayer Online Games as Multi-Agent Systems.- A Dialogue Game Protocol for Recommendation in Social Networks.- Friends Forever: Social Relationships with a Fuzzy Agent-Based Model.- R2-IBN: Argumentation Based Negotiation Framework for the Extended Enterprise.- Extending Pattern Specification for Design the Collaborative Learning at Analysis Level.- Towards the Simulation of Social Interactions through Embodied Conversational Agents.- Ontology-Based Approach for Semi-automatic Generation of Subcategorization Fram…