人工智能進(jìn)展/會議錄 Advances in artificial intelligence

內(nèi)容概要

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.

書籍目錄

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

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