Advances in Intelligent Computing - IPMU '94

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 functional approach to fuzzy system representation.- Information matrices associated to (h, ?)-divergence measures: Applications to testing hypotheses.- Informational energy test for equality of variances.- Compositive information measure of a fuzzy set.- Informational time.- Updating, transition constraints and possibilistic Markov chains.- Possibilistic logic as interpretability logic.- A numerical framework for possibilistic abduction.- Possibility theory and independence.- Handling hard rules and default rules in possibilistic logic.- A general possibilistic framework for reliability theory.- Possibilistic semantic nets.- An essay on name and extension of rule-given properties.- On non-alethic logic.- Marginal problem in different calculi of AI.- Implication connectives for logics with right weakening.- Stochastic logic.- An approach to handle partially sound rules of inference.- Using classical theorem-proving techniques for approximate reasoning: Revised report.- Translation-based deduction methods for modal logics.- A system of knowledge representation based on formulae of predicate calculus whose variables are annotated by expressions of a “fuzzy” Terminological Logic.- Using preference based heuristics to control abductive reasoning.- Efficient interpretation of prepositional multiple-valued logic programs.- Many-valued epistemic states. An application to a reflective architecture: Milord-II.- Acoustical chaotic fractal images for medical imaging.- Chaos causes perspective reversals for ambiguious patterns.- Implications of a continuous approach to chaotic modeling.- “Homeostasic” control of imbalanced strangeattractors with or without asking to a change in chaotic dynamics.- A feature based reuse library.- Managing uncertainty in an object recovery process.- Juggling in free fall: Uncertainty management aspects of domain analysis methods.- Hybrid fuzzy metrics for software reusability.- A program transformation system for software reuse.- Abstract visualization of software.- Retrieval of images using Pixel based object models.- Object recognition based on pattern features.- Key-picture selection for the analysis of visual speech with fuzzy methods.- Effective scheduling of tasks under weak temporal interval constraints.- Introducing contextual information in multisensor tracking algorithms.- FAM on grain scheduling control of highly nonlinear and disturbed processes.- How to choose according to partial evaluations?.- The role of measurement uncertainty in numeric law induction.