| 000 | 01634cam a2200181 a 4500 | ||
|---|---|---|---|
| 999 |
_c15010 _d15010 |
||
| 020 | _a9789332543515 (pbk) | ||
| 020 | _a9789673498161 (pbk) | ||
| 082 | 0 | 0 |
_a006.3 _bRUS |
| 100 | 1 |
_aRussell, Stuart J. _aPeter Norvig |
|
| 245 | 1 | 0 |
_aArtificial intelligence _ba modern approach |
| 260 |
_aKuala Lumpur _bPearson India Education Services Pvt. Ltd _bPearson Malaysia Sdn. Bhd. _c2020 |
||
| 300 |
_axviii, 1145 p. _b: ill. _c; 30 cm. |
||
| 500 | _aIncludes appendices, bibliographical references and index. | ||
| 505 | _aI. Artificial Intelligence. Intelligent Agents II. Problem-solving. Solving Problems by Searching. Informed Search Methods. Game Playing III. Knowledge and reasoning. Agents that Reason Logically. First-Order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems IV. Acting logically. Planning. Practical Planning. Planning and Acting V. Uncertain knowledge and reasoning. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions VI. Learning. Learning from Observations. Learning in Neural and Belief Networks. Reinforcement Learning. Knowledge in Learning VII. Communicating, perceiving, and acting. Agents that Communicate. Practical Natural Language Processing. Perception. Robotics VIII. Conclusions. Philosophical Foundations. AI: Present and Future A Complexity analysis and O() notation B Notes on Languages and Algorithms | ||
| 650 | 0 |
_aArtificial intelligence _aComputer science _vLanguage algorithms _vStatistical learning _vProblem solving _vIntelligent agent _vReal world _vRICAS _vRCST _vFC |
|
| 942 | _cBK | ||