01122nam a2200241 a 4500001001400000003000700014005001700021008004100038020003000079020002700109020002600136040000800162245016100170260005700331300003400388504005000422520024800472650004900720650004100769700003000810700002400840700001600864vtls000063338KUKTEM20251114204331.0120730t2012    paua   f      001 0 eng d  a9781609601652 (hardcover)  a1609601653 (hardcover)  a9781609601676 (ebook)  aUMP00aDecision theory models for applications in artificial intelligence :bconcepts and solutions /c[edited by] L. Enrique Sucar, Eduardo F. Morales, Jesse Hoey  aHershey, PA :bInformation Science Reference,cc2012  axiv, 428 p. :bill. ;c29 cm.  aIncludes bibliographical references and index  a"This book provides an introduction to different types of decision theory techniques, including MDPs, POMDPs, Influence Diagrams, and Reinforcement Learning, and illustrates their application in artificial intelligence"-- Provided by publisher 0aArtificial intelligencexStatistical methods 0aBayesian statistical decision theory1 aSucar, L. Enrique,d1957-1 aMorales, Eduardo F.1 aHoey, Jesse