人工智能进展/会议录 Advances in artificial intelligence
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作者： Luc Lamontagn，Mario Marchand 著
出 版 社： 湖北辞书出版社
出版时间： 2006-12-1字数：版次： 1页数： 561印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540346289包装： 平装编辑推荐
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).
内容简介
This book constitutes the refereed proceedings of the 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, held in Québec City, Québec, Canada in June 2006.
The 47 revised full papers presented were carefully reviewed and selected from 220 submissions. The papers are organized in topical sections on agents, bioinformatics, constraint satisfaction and distributed search, knowledge representation and reasoning, natural language, reinforcement learning and, supervised and unsupervised learning.
目录
Agents
Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems
A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains
A Smart Home Agent for Plan Recognition
Using Multiagent Systems to Improve Real-Time Map Generation
An Efficient Resource Allocation Approach in Real-Time Stochastic Environment
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A 'Believable' and 'Usable' Multiagent-Based Simulation of Customers'Shopping Behavior in a Mall
Bioinformaties
A New Profile Alignment Method for Clustering Gene Expression Data
A Classification-Based Glioma Diffusion Model Using MRI Data
Bayesian Learning for Feed-Forward Neural Network with Application to Proteomie Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study
Constraint Satisfaction and Search
Relaxation of Soft Constraints Via a Unified Semiring
Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Simple Support-Based Distributed Search
Knowledge Representation and Reasoning
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
An Improved LAZY-AR Approach to Bayesian Network Inference
Four-Valued Semantics for Default Logic
Exploiting Dynamic Independence in a Static Conditioning Graph
Probabilistic Melodic Harmonization
Learning Bayesian Networks in Semi-deterministic Systems
Progressive Defeat Paths in Abstract Argumentation Frameworks
Natural Language
Reinforcement Learning
Supervised and Unsupervised Learning
User Modeling
Author Index
