عنوان

Artificial intelligence :

شابک

0132090015 (pbk.)

شابک

0321545893 (alk. paper)

شابک

9780132090018 (pbk.)

شابک

9780321545893 (alk. paper)

شماره

b510854

عنوان اصلي

Artificial intelligence :

نام عام مواد

[Book]

ساير اطلاعات عنواني

structures and strategies for complex problem solving /

نام نخستين پديدآور

George F. Luger.

وضعيت ويراست

Sixth edition.

محل نشرو پخش و غیره

Boston :

نام ناشر، پخش کننده و غيره

Pearson Addison-Wesley,

تاریخ نشرو بخش و غیره

[2009]

تاریخ نشرو بخش و غیره

©2009

نام خاص و کميت اثر

xxiii, 754 pages :

ساير جزييات

illustrations ;

ابعاد

24 cm

متن يادداشت

Includes bibliographical references (p. 705-733) and indexes.

متن يادداشت

Pt. I. Artificial intelligence : its roots and scope -- 1. AI : history and applications -- Pt. II. Artificial intelligence as representation and search -- 2. The predicate calculus -- 3. Structures and strategies for state space search -- 4. Heuristic search -- 5. Stochastic methods -- 6. Control and implementation of state space search -- Pt. III. Capturing intelligence : the AI challenge -- 7. Knowledge representation -- 8. Strong method problem solving -- 9. Reasoning in uncertain situations -- Pt. IV. Machine iearning -- 10. Machine learning : symbol-based -- 11. Machine learning : connectionist -- 12. Machine learning : genetic and emergent -- 13. Machine learning : probabilistic -- Pt. V. Advanced topics for AI problem solving -- 14. Automated reasoning -- 15. Understanding natural language -- Pt. VI. Epilogue -- 16. Artificial intelligence as empirical enquiry.

بدون عنوان

0

متن يادداشت

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 (TM). "References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Knowledge representation (Information theory)

موضوع مستند نشده

LISP (Computer program language)

موضوع مستند نشده

Problem solving.

موضوع مستند نشده

Prolog (Computer program language)

موضوع مستند نشده

Códigos de corrección (Teoría de la información).

موضوع مستند نشده

Inteligencia artificial.

موضوع مستند نشده

Solución de problemas.

شماره

شماره

ويراست

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Luger, George F.

تاريخ عمليات

20100614123414.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y