Artificial intelligence: Structure and stretegies for complex problem solving
Luger, George F
KEY MESSAGE:In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied.KEY TOPICS:Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print:AI Algorithms in Prolog, Lisp and Java (TM).References and citations are updated throughout the Sixth Edition.MARKET:For all readers interested in artificial intelligence.
年:
2008
出版:
Sexta edición
出版社:
Pearson Education, Inc
语言:
english
页:
754
ISBN 10:
8420080063
ISBN 13:
9788420080062
文件:
PDF, 6.22 MB
IPFS:
,
english, 2008
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