Artificial Intelligence and Cognitive Science

Michael O'Neill [BSc. (UCD), PhD (UL)] is a lecturer in the Department of Computer Science and Information Systems at the University of Limerick. He has over 70 publications on biologically inspired algorithms (BIAs). He coauthored the Springer title "Grammatical Evolution -- Evolutionary Automatic Programming in an Arbitrary Language", Genetic Programming Series, 2003, 160 pp., ISBN 1-4020-7444-1. He is one of the two original developers of the Grammatical Evolution algorithm, research that spawned an annual invited tutorial at the largest evolutionary computation conference and an international workshop, and is also on a number of relevant organising committees (e.g., GECCO 2005). Michael is a regular reviewer for the leading evolutionary computation (EC) journals, namely IEEE Trans. on Evolutionary Computation, MIT Press's Evolutionary Computation, and Springer's Genetic Programming and Evolvable Hardware journal.

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.