Eleven contributions : 1: Personalistic Bayesianism; C. Howson. 2: On Higher Order Beliefs; N.-E. Sahlin. 3: On the Logic of Relevance; P. Gr̃denfors. 4: Diverging Distributions; D. Miller. 5: Inductive Logic Revisited; J.-P. Dubucs. 6: Probability and Utility; J.M. Vickers. 7: What has Probability to Do with Strength of Belief; L.J. Cohen. 8: Randomness, Unpredictability and Absence of Order: the Identification by the Theory of Recursivity of the Mathematical Notion of Random Sequence; J.-P. Delahaye. 9: A Glance at Non-Standard Models and Logics of Uncertainty and Vaguness; D. Dubois, H. Prade. 10: Causal Laws are Objectifications of Inductive Schemes; W. Spohn. 11. Probabilistic Inference in Artificial Intelligence: the Method of Bayesian networks; J.-L. Golmard. – They intend to provide a comprehensive introduction to theoretical issues that occupy a central position in disciplines ranging from philosophy of mind and epistemology to cognitive science, decision theory and artificial intelligence. Some contributions shed new light on the standard conceptions of probability (such as Bayesianism, logical and computational theories); others offer detailed analyses of two important topics in the field of cognitive science : – the meaning and the representation of (partial) belief, and – the management of uncertaincy . This multidisciplinary approach to probability (the authors are philosophers as well as computer scientists) is designed to illuminate the intricacies of the problems in the domain of cognitive inquiry. M.-M. V.
HOWSON Colin
pages 1 à 12
SAHLIN Nils-Eric
pages 13 à 34
GÄRDENFORS Peter
pages 35 à 54
MILLER David William
pages 55 à 77
DUBUCS Jacques
pages 79 à 108
VICKERS John M.
pages 109 à 127
COHEN L. Jonathan
pages 129 à 143
DELAHAYE Jean-Paul
pages 145 à 167
DUBOIS Didier, PRADE Henri
pages 169 à 222
SPOHN Wolfgang
pages 223 à 255
GOLMARD Jean-Louis
pages 257 à 291