Symbolic and Quantitative Approaches to Reasoning with Uncertainty 象征和定量方法与不确定推理
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内容提要：
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 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）. 编辑推荐：
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This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc. 目录：
Invited Papers
Contributed Papers Decision Theory Partially Observable Markov Decision Processes Decision-Making Coherent Probabilities Bayesian Networks Learning Causal Networks Graphical Representations of Uncertainty Imprecise Probabilities Belief Functions Fuzzy Sets and Rough Sets Possibility Theory Applications Merging Belief Revision and Preferences Inconsistency Handling Default Logic Conditional Default Reasoning Models of Uncertainty from the Psychology Viewpoint Argumentation Systems and ATMSs Causality，Events，Explanations Logic Programming Modal Logics for Information Systems Satisfiability Author Index |