Advances in Intelligent Computing - IPMU '94: 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based [Paperback]

This book presents a topical selection of full refereed research papers presented during the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '94, held in Paris, France in July 1994. The topical focus is on the role of uncertainty in the contruction of intelligent computing systems and it is shown how the concepts of AI, neural networks, and fuzzy logic can be utilized for that purpose.
In total, there are presented 63 thoroughly revised papers organized in sections on fundamental issues; theory of evidence; networks, probabilistic, statistical, and informational methods; possibility theory, logics, chaos, reusability, and applications.Philosophical foundations for causal networks.- Non standard probabilistic and non probabilistic representations of uncertainty.- Argumentation systems and evidence theory.- Algebraic structures related to Dempster-Shafer theory.- Extension of lower probabilities and coherence of belief measures.- A note on multi-objective information measures.- Decision making using belief functions evaluation of information.- Hybrid propagation in junction trees.- Heuristic algorithms for the triangulation of graphs.- Computing marginals from the marginal representation in Markov trees.- Representation of Bayesian networks as relational databases.- Decision influence diagrams with fuzzy utilities.- Causal Networks and their toolkit in KSE.- Approximations of causal networks by polytrees: an empirical study.- Evidence propagation on influence diagrams and value of evidence.- Some varieties of qualitative probability.- The qualitative verification of quantitative uncertainty.- Uncertainty management using probability intervals.- Probabilistic consistency of conditional probability bounds.- Testing the convenience of a variate for stratification in estimating the Gini-Simpson diversity.- Fuzzy probabilities and their applications to statistical inference.- A bayesian functionlÃ4