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Scalable Uncertainty Management
This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers and practitioners.
Belief Change
Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and combination of pieces of information and, more generally, with the revision, updating and fusion of knowledge bases. The book offers an extensive coverage of, and seeks to reconcile, two traditions in the kinematics of belief that often ignore each other - the symbolic and the numerical (often probabilistic) approaches. Moreover, the work encompasses both revision and fusion problems, even though these two are also commonly investigated by diff...
Advances in the Dempster-Shafer Theory of Evidence
Builds on classical probability theory and offers an extremely workable solution to the many problems of artificial intelligence, concentrating on the rapidly growing areas of fuzzy reasoning and neural computing. Contains a collection of previously unpublished articles by leading researchers in the field.
ISIPTA '99
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Uncertainty in Artificial Intelligence
This volume contains papers accepted for presentation at the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI99) held at the Royal Institute of Technology (KTH) in Stockholm, Sweden from July 30 through August 1, 1999. This conference continues a 15-year tradition of providing an international forum for exchange of ideas on problems of reasoning, under uncertainty. During those 15 years, UAI has moved from a little-noticed niche at the edge of the field, solidly into the mainstream of artificial intelligence research and practice. Research first presented at UAI has contributed significantly to advances in a number of related fields and has found application in a wide variety of domains. The UAI conference has acquired a reputation for excellence, and the proceedings have become an important reference source for high-quality work in the field.
