Research and Development in Intelligent Systems XXII

Technical Keynote Address.- Computational Intelligence for Bioinformatics: The Knowledge Engineering Approach.- Best Technical paper.- Reusing JessTab Rules in Protégé.- Information Learning, Integration and Management.- Robot Docking Based on Omnidirectional Vision and Reinforcement Learning.- Global EM Learning of Finite Mixture Models using the Greedy Elimination Method.- Tracking Drifting Concepts by Time Window Optimisation.- Hierarchical knowledge-oriented specification for information integration.- Al and the World Wide Web.- The Semantic Web as a Linguistic Resource: Opportunities for Natural Language Generation.- A Distributed CBR Framework through Semantic Web Services.- Using simple ontologies to build personal Webs of knowledge.- Modeling Navigation Patterns of Visitors of Unstructured Websites.- Networks and Biologically Motivated Al.- Exploring the Noisy Threshold Function in Designing Bayesian Networks.- A biologically motivated neural network architecture for the avoidance of catastrophic interference.- Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination.- Multi-Agent Systems.- A Trading Agent for a Multi-Issue Clearing House.- An Agent-Based Approach to ANN Training.- Case-Based Reasoning.- Collaborative Recommending using Formal Concept Analysis.- Using Case Differences for Regression in CBR Systems.- Formal Concept Analysis for Knowledge Refinement in Case Based Reasoning.- Recommendation Knowledge Discovery.- Knowledge Discovery in Data.- Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees.- The Impact of Rule Ranking on the Quality of Associative Classifiers.- Reliable Instance Classification with Version Spaces.- Reasoning and Decision Making.- Acting Irrationally to Improve Performance in Stochastic Worlds.- On the Use of OBDDs in Model Based Diagnosis: an Approach Based on the Partition of the Model.- Issues in Designing Tutors for Games of Incomplete Information: a Bridge Case Study.- Qualitative Representation and Reasoning with Uncertainty in Space and Time.