Uncertainty in Artificial Intelligence: v. 6 (Machine Intelligence & Pattern Recognition S.) - Tapa dura

This collection of papers reflects the international participation that is becoming typical of the Conference on Uncertainty and AI. Increasing contributions from Canadian, European, and Australian researchers have enriched the content of the present proceedings, and have led to the development of broader perspectives and deeper exchanges of technical ideas and experiences. This book comprises such topics as: the relations between alternative formalisms, including possibilistic reasoning, Dempster Shafer belief functions, non-monotonic reasoning, Bayesian and decision theoretic schemes; new inference techniques for belief nets; and applications of new techniques to important problems in medicine, vision, robotics and natural language understanding. An important edition for industrial and technical libraries, this volume should not be missed by developers of AI systems, university and industrial researchers, or students and faculty in the field of AI.