Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence\ Structures and Strategies for Complex Problem Solving, Sixth Edition\ by George F Luger\ This accessible, comprehensive book captures the essence of artificial intelligence -- solving the complex problems that arise wherever computer technology is applied. With his signature enthusiasm, George Luger demonstrates numerous techniques and strategies for addressing the many challenges facing computer scientists today. Diverse topics on this exciting and ever-evolving...
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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 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 ™. References and citations are updated throughout the Sixth Edition.For all readers interested in artificial intelligence.
Pt. IArtificial intelligence : its roots and scope11AI : early history and applications3Pt. IIArtificial intelligence as representation and search352The predicate calculus453Structures and strategies for state space search794Heuristic search1235Stochastic methods1656Building control algorithms for state space search193Pt. IIIRepresentation and intelligence : the AI challenge2237Knowledge representation2278Strong method problem solving2779Reasoning in uncertain situations333Pt. IVMachine learning38510Machine learning : symbol-based38711Machine learning : connectionist45312Machine learning : social and emergent507Pt. VAdvanced topics for AI problem solving54513Automated reasoning54714Understanding natural language591Pt. VILanguages and programming techniques for artificial intelligence63515An introduction to PROLOG64116An introduction to LISP723Pt. VIIEpilogue82117Artificial intelligence as empirical enquiry823
