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

The LNAI series reports state-of-the-art results in artificial intelligence re-search，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R＆D community，with numerous individuals，as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of
application fields. The type of material published traditionally includes
proceedings（published in time for the respective conference）
post-proceedings（consisting of thoroughly revised final full papers）
research monographs（which may be based on PhD work）

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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.

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
……
Author Index