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Progress in Artificial Intelligence人工智能进展

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Progress in Artificial Intelligence人工智能进展

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作 者:FernandoMouraPires 著

出 版 社:北京燕山出版社

出版时间:2004-1-1

I S B N:3540205896

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内容简介

This book constitutes the refereed proceedings of the 11th Portuguese Conference on Artificial Intelligence, EPIA 2003, held in Beja, Portugal in December 2003.
The 29 revised full papers and 20 revised short papers presented were carefully reviewed and selected from a total of 119 submissions. In accordance with the five constituting workshops, the papers are organized in topical sections on artificial life and evolutionary algorithms, constraint and logic programming systems, extraction of knowledge from databases, multi-agent systems and AI for the Internet, and natural language processing and text retrieval.

作者简介

目录

Abstracts of Invited Presentations and Tutorials
 Constraint Programming in Computational Molecular Biology
 Computational Creativity
 From Wheels to Wings with Evolutionary Spiking Circuits
 An Introduction to Object-Oriented RuleML
 Learning from Networks of Examples
 Grammar Induction and Adaptive Information Disclosure
 Understanding Implicit Language Structures
 Performance Issues in Pro]og Applications
Artificial Life and Evolutionary Algorithms (ALEA)
 Optimization of Logistic Processes in Supply-Chains Using Meta-heuristics
 Evolutionary Neural Network Learning
 Golomb Rulers: The Advantage of Evolution
 A Particle Swarm Data Miner
 Yerkes-Dodson Law in Agents' Training
 SAPPO: A Simple, Adaptable, Predator Prey Optimiser
 Evolutionary Neuroestimation of Fitness Functions
 A Resource Sharing Model to Study Social Behaviours
 Improving Self-Confidence: An Advise-Based Evolutionary Model
Constraint and Logic Programming Systems (CLPS)
 Solving Set Partitioning Problems with Global Constraint Propagation
 Heuristic-Based Backtracking for Propositional Satisfiability
 On the BEAM Implementation
 YapDss: An Or-Parallel Prolog System for Scalable Beowulf Clusters
 Experimental Evaluation of a Caching Technique for ILP
 jcc: Integrating Timed Default Concurrent Constraint Programming into JAVA
Extraction of Knowledge from Data Bases (EKDB)
 BAYES-NEAREST: A New Hybrid Classifier Combining Bayesian Network and Distance Based Algorithms
 A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring
 Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
……
Multi-Agents and AI for the Internet(MAAII)
Natural Language and Text Retrieval(NLTR)
Author Index

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