人工智能与认知科学/会议录Artificial intelligence and cognitive science

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出版社:Springer
出版日期:2002-12
ISBN:9783540441847
作者:Michael O'Neill
页数:245页

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This book constitutes the refereed proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science, AICS 2002, held in Limerick, Ireland in September 2002.The 16 revised full papers and 17 revised short papers presented were carefully reviewed and selected for inclusion in the book. Among the topics addressed are cognitive modeling, case-based reasoning, constraint processing, data mining, evolutionary computation, intelligent agents, information retrieval, knowledge representation, reasoning, machine learning, natural language processing, neural networks, perception, AI planning, robotics, and scheduling.

书籍目录

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 PenalizedTraining  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-AnsweringConcise 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……Author Index

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