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Inhaltsangabe: Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to uncertainties, update existing plans to accommodate new requests and events, and produce high-quality decisions under severe time constraints. Such online decision-making applications are becoming increasingly common: ambulance dispatching and emergency city-evacuation routing, for example, are inherently online decision-making problems; other applications include packet scheduling for Internet communications and reservation systems. This book presents a novel framework, online stochastic optimization, to address this challenge.
This framework assumes that the distribution of future requests, or an approximation thereof, is available for sampling, as is the case in many applications that make either historical data or predictive models available. It assumes additionally that the distribution of future requests is independent of current decisions, which is also the case in a variety of applications and holds significant computational advantages. The book presents several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. It discusses how to relax some of the assumptions in using historical sampling and machine learning and analyzes different underlying algorithmic problems. And finally, the book discusses the framework's possible limitations and suggests directions for future research.
About the Author:
Pascal Van Hentenryck is Professor in the Department of Computer Science at Brown University. He is the author or editor of several MIT Press books.
Russell Bent is a Ph.D. graduate of Brown University, where he worked on online optimization. He recently joined the technical staff of Los Alamos National Laboratories.
Buchbeschreibung The MIT Press, 2006. Buchzustand: Very Good. 1st. Former Library book. Great condition for a used book! Minimal wear. Buchnummer des Verkäufers GRP96328977
Buchbeschreibung The MIT Press, 2006. Hardcover. Buchzustand: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Buchnummer des Verkäufers mon0000710802
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Buchbeschreibung The MIT Press. Hardcover. Buchzustand: Very Good. 0262220806 MIT Press, 2006. Hard cover, first edition. Previous owner's name, otherwise VG condition with no dust jacket, as issued. A nice clean copy. Buchnummer des Verkäufers SKU1049373
Buchbeschreibung The MIT Press. Hardcover. Buchzustand: Very Good. 0262220806 Very light corner wear. Wrinkle to front and back cover. Interior pages are Like New. Buchnummer des Verkäufers CORV-BBC-0K77137
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Buchbeschreibung The MIT Press, 2006. Hardcover. Buchzustand: New. Buchnummer des Verkäufers P110262220806
Buchbeschreibung The MIT Press, 2006. Hardcover. Buchzustand: New. Buchnummer des Verkäufers DADAX0262220806