| 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) |
| Invited Papers Bayesian Networks Graphical Models Learning Causal Networks Planning Causality and Independence Preference Modelling and Decision Argumentation Systems Inconsistency Handing Belief Revision and Merging Belief Functions Fuzzy Models Many-Valued Logical Systems Uncertainty Logics Probabilistic Reasoning Reasoning Models Under Uncertainty Uncertainty Measures Probabilistic Classifiers Classification and Clustering Industrial Applications Author Index |
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