Probabilistic Reasoning in Multiagent Systems
Yang Xiang
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at 250 WPM5h 8m
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Probabilistic Reasoning in Multiagent Systems
by Yang Xiang
Published
2010
Publisher
Cambridge University Press
Pages
308
ISBN-13
9780521153904
Description
This book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become an active field of research and practice in artificial intelligence, operations research and statistics in the last two decades. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. In this book, the author extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results from a decade's research. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.
Subjects
Frequently Asked Questions
How many pages are in Probabilistic Reasoning in Multiagent Systems?
This edition of Probabilistic Reasoning in Multiagent Systems has approximately 308 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Probabilistic Reasoning in Multiagent Systems?
For most readers, Probabilistic Reasoning in Multiagent Systems typically takes between 6h 25m and 4h 17m to complete. This is based on the book's length of approximately 77,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 8m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 77,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Probabilistic Reasoning in Multiagent Systems?
The estimated word count for Probabilistic Reasoning in Multiagent Systems is approximately 77,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Probabilistic Reasoning in Multiagent Systems?
Probabilistic Reasoning in Multiagent Systems was written by Yang Xiang.
When was Probabilistic Reasoning in Multiagent Systems published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.