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

出版时间：2002-12  出版社：Springer  作者：Michael O'Neill  页数：245  
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内容概要

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 ofapplication 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）

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