Probabilistic reasoning in multiagent systems: a graphical models approach
Xiang, Yang
Probalistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become an active field of research and practice in artifical 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 paradim 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 gleaned from a decade's research.
Categorías:
Año:
2004
Editorial:
Cambridge University Press
Idioma:
english
ISBN 10:
0521813085
ISBN 13:
9780521813082
Archivo:
PDF, 1.58 MB
IPFS:
,
english, 2004
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