This volume constitutes the refereed proceedings of the 4th International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2009, held in Salamanca, Spain, in June 2009.
The 85 papers presented, were carefully reviewed and selected from 206 submissions. The topics covered are agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, real world HAIS applications and data uncertainty, hybrid artificial intelligence in bioinformatics, evolutionary multiobjective machine learning, hybrid reasoning and coordination methods on multi-agent systems, methods of classifiers fusion, knowledge extraction based on evolutionary learning, hybrid systems based on bioinspired algorithms and argumentation methods, hybrid evolutionry intelligence in financial engineering.
Klappentext
The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present and discuss the latest th- retical advances and real-world applications in this exciting research field. This volume of Lecture Notes in Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2009 held at the University of Salamanca, Salamanca, Spain, June 2009. Since its inception, the main aim of the HAIS conferences has been to establish a broad and interdisciplinary forum for hybrid artificial intelligence systems and asso- ated learning paradigms, which are playing increasingly important roles in a large number of application areas.
Inhalt
Agents and Multi Agents Systems.- Agents in Home Care: A Case Study.- EP-MAS.Lib: A MAS-Based Evolutionary Program Approach.- A Framework for Dynamical Intention in Hybrid Navigating Agents.- Multi-agent Based Personal File Management Using Case Based Reasoning.- Agent-Based Evolutionary System for Traveling Salesman Problem.- A Vehicle Routing Problem Solved by Agents.- MACSDE: Multi-Agent Contingency Response System for Dynamic Environments.- HAIS Applications.- Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments.- Development of a Decision-Maker in an Anticipatory Reasoning-Reacting System for Terminal Radar Control.- Study of Outgoing Longwave Radiation Anomalies Associated with Two Earthquakes in China Using Wavelet Maxima.- A Hybrid Approach for Designing the Control System for Underwater Vehicles.- Hydrodynamic Design of Control Surfaces for Ships Using a MOEA with Neuronal Correction.- Closures of Downward Closed Representations of Frequent Patterns.- Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process.- Review of Hybridizations of Kalman Filters with Fuzzy and Neural Computing for Mobile Robot Navigation.- A Real-Time Person Detection Method for Moving Cameras.- Unsupervised Methods for Anomalies Detection through Intelligent Monitoring Systems.- Architecture for Hybrid Robotic Behavior.- A Hybrid Solution for Advice in the Knowledge Management Field.- Cluster Analysis.- A Cluster-Based Feature Selection Approach.- Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution.- Credibility Coefficients in Hybrid Artificial Intelligence Systems.- An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks.- Data Mining and Knowledge Discovery.- A Generic and Extendible Multi-Agent Data Mining Framework.- A Modular Distributed Decision Support System with Data Mining Capabilities.- A Fuzzy Quantitative Integrated Metric Model for CMMI Appraisal.- Analyzing Transitive Rules on a Hybrid Concept Discovery System.- Survey of Business Intelligence for Energy Markets.- Evolutionary Computation.- Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture.- Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm.- Cellular Automata Rule Detection Using Circular Asynchronous Evolutionary Search.- Evolutionary Non-linear Great Deluge for University Course Timetabling.- Co-operative Co-evolutionary Approach to Multi-objective Optimization.- A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids.- On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms.- A Hooke-Jeeves Based Memetic Algorithm for Solving Dynamic Optimisation Problems.- Hybrid Evolutionary Algorithm for Solving Global Optimization Problems.- Learning Algorithms.- Fragmentary Synchronization in Chaotic Neural Network and Data Mining.- Two-Stage Neural Network Approach to Precise 24-Hour Load Pattern Prediction.- Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards.- Comparative Evaluation of Semi-supervised Geodesic GTM.- Special Session.- Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill.- A Review on the Application of Hybrid Artificial Intelligence Systems to Optimization Problems in Operations Management.- A Pool of Experts to Evaluate the Evolution of Biological Processes in SBR Plants.- A Hybrid Ant-Based Approach to the Economic Triangulation Problem for Input-Output Tables.- A Thermodynamical Model Study for an Energy Saving Algorithm.- A Fuzzy Approach of the Kohonen's Maps Applied to the Analysis of Biomedical Signals.- Unearth the Hidden Supportive Information for an Intelligent Medical Diagnostic System.- Incremental Kernel Machines for Protein Remote Homology Detection.- Use of Classification Algorithms in Noise Detection and Elimination.- SGNG Protein Classifier by Matching 3D Structures.- Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity.- Pareto-Based Multi-output Model Type Selection.- A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning.- On the Formalization of an Argumentation System for Software Agents.- A Dialogue-Game Approach for Norm-Based MAS Coordination.- Incorporating a Temporal Bounded Execution to the CBR Methodology.- Towards Providing Social Knowledge by Event Tracing in Multiagent Systems.- A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments.- RecMas: A Multiagent System Socioconfiguration Recommendations Tool.- Combining Multiple Classifiers with Dynamic Weighted Voting.- Fusion of Topology Preserving Neural Networks.- Adaptive Splitting and Selection Method of Classifier Ensemble Building.- Probability Error in Global Optimal Hierarchical Classifier with Intuitionistic Fuzzy Observations.- Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting.- A Hybrid Bumble Bees Mating Optimization - GRASP Algorithm for Clustering.- A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection.- Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty.- Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.- A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classificatio…