Artificial Intelligence and Cognitive Science: 13th Irish International Conference, AICS 2002, Limerick, Ireland, September 12-13, 2002. Proceedings

The Arti?cial Intelligence and Cognitive Science Conference has taken place annually since 1988. It provides a forum for the exchange of ideas and the p- sentation of results relating to work conducted both in Ireland and worldwide. The conference spans a large number of ?elds including case-based reas- ing, cognitive modeling, constraint processing, data mining, evolutionary c- putation, intelligent agents, intelligent information retrieval, knowledge rep- sentation and reasoning, learning, natural language processing, neural networks, perception and planning, robotics, and scheduling. AICS 2002 was the thirteenth conference in the series and took place at U- versityofLimerickon12-13September.Inadditiontothe16regularpapersand 17 concise papers accepted for presentation, we were delighted to welcome two prestigious keynote speakers both ?tting in with the conference theme 'Towards Bio-inspired Computing'. They were David Goldberg of University of Illinois at Urbana-Champaign, and Dario Floreano of the Swiss Federal Institute of Te- nology. I would like to take this opportunity to thank our sponsors QAD Ireland and University of Limerick, as well as all those who were involved in the organisation of the conference including the Co-chairs, Programme Committee members, and Conference Administrators. June 2002 Richard F. E. Sutcli?e Organisation AICS 2002 was organized by the Department of Computer Science and Inf- mation Systems, University of Limerick, in association with the Arti?cial Int- ligence Association of Ireland.

Table of Contents:
Regular Papers.- On the Usefulness of Extracting Syntactic Dependencies for Text Indexing.- Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation.- RADAR: Finding Analogies Using Attributes of Structure.- Classifying Languages Based on Speech Rhythm.- Finding Agents in a Two-Dimensional Boolean STaM.- Neuro-symbolic System for Forecasting Red Tides.- Improved Learning for Hidden Markov Models Using Penalized Training.- Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle.- A System for Multi-agent Information Retrieval.- All There Is to the Mind Is to Have the Right Genes, or, Consciousness as a Form of Genetic Engineering.- Towards Robust Collaborative Filtering.- GVR: A New Genetic Representation for the Vehicle Routing Problem.- An Empirical Comparison of Particle Swarm and Predator Prey Optimisation.- Data Mining Support for Case-Based Collaborative Recommendation.- The Feasibility of Machine Learning for Query Answering — An Experiment in Two Domains.- Meta-knowledge Annotation for Efficient Natural-Language Question-Answering.- Concise Papers.- Financial Time Series Modelling Using Neural Networks: An Assessment of the Utility of a Stacking Methodology.- Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders.- Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.- How People Compare an Item’s Placement in Two Alternative Categories.- Investigations into Market Index Trading Models Using Evolutionary Automatic Programming.- An Interactive Story Engine.- Coherence, Explanation, and Bayesian Networks.- Combining Case-Based Reasoning and Analogical Reasoning in Software Design.- Combination Methods forImproving the Reliability of Machine Translation Based Cross-Language Information Retrieval.- A System for Music Information Retrieval.- A New Bayesian Network Structure for Classification Tasks.- Evaluating Preference-Based Feedback in Recommender Systems.- Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network.- An Interactive Learning Environment for Knowledge Engineering.- Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses.- A Hybridised GA for the Steiner Minimal Tree Problem.- Speaking Autonomous Intelligent Devices.