000			01640cam a2200229 a 4500
999			_c832 _d832
001			2049
005			20200708105009.0
008			030422s2003 njua b 001 0 eng
020			_a9788177583670
040			_cPK
082	0	0	_a006.3 _221 _bR9611
100	1		_aRussell, Stuart J.
245	1	0	_aArtificial intelligence : _ba modern approach / _cStuart J. Russell and Peter Norvig ; contributing writers, John F. Canny ... [et al.].
250			_a2nd ed.
260			_aNew Delhi : _bPrentice Hall/Pearson Education, _c2008
300			_a1046 p.
500			_aincludes index
650		0	_aArtificial intelligence.
700	1		_aNorvig, Peter.
942			_cBK
505	0		_aI. Artificial intelligence. 1. Introduction. 2. Intelligent agents. Ii. Problem-solving. 3. Solving problems by searching. 4. Informed search and exploration. 5. Constraint satisfaction problems. 6. Adversarial search. Iii. Knowledge and reasoning. 7. Logical agents. 8. First-order logic. 9. Inference in first-order logic. 10. Knowledge representation. Iv. Planning. 11. Planning. 12. Planning and acting in the read world. V. Uncertain knowledge and reasoning. 13. Uncertainty. 14. Probabilistic reasoning systems. 15. Probabilistic reasoning over time. 16. Making simple decisions. 17. Making complex decisions. Vi. Learning. 18. Learning from observations. 19. Knowledge in learning. 20. Statistical learning methods. 21. Reinforcement learning. Vii. Communicating, perceiving, and acting. 22. Agents that communicate. 23. Text processing in the large. 24. Perception. 25. Robotics. Viii. Conclusions. 26. Philosophical foundations. 27. Ai: present and future.