人工智能进展/会议录 Advances in artificial intelligence

2006-12  

湖北辞书出版社  

Canadian Society for Computational Studi; Lamontagne, Luc; Marchand, Mario  

561  

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.

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 MallBioinformaties 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 StudyConstraint 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 SearchKnowledge 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 FrameworksNatural LanguageReinforcement LearningSupervised and Unsupervised LearningUser ModelingAuthor Index

人工智能进展/会议录 Advances in artificial intelligence PDF格式下载