| 000 | 01587nam a22002657a 4500 | ||
|---|---|---|---|
| 005 | 20230209153433.0 | ||
| 008 | 230208b ||||| |||| 00| 0 eng d | ||
| 020 | _a9780070087705 | ||
| 040 | _cAL | ||
| 041 | _aEnglish | ||
| 082 |
_223 _a001.535 _bRICA |
||
| 100 |
_aElaine Rich and others _971705 |
||
| 245 | _aArtificial Intelligence | ||
| 250 | _a3. | ||
| 260 |
_aChennai _bMcGraw Hill Education India Private Limited _c2019 |
||
| 300 |
_axviii,568 p. _bPB _c24x18 cm. |
||
| 365 |
_a7544 _b₹652.00 _c₹ _d₹815.00 _e20% _f31-01-2023 |
||
| 520 | _aThis book presents both theoretical foundations of AI and an indication of the ways that current techniques can be used in application programs. With the revision, most of the content has been preserved as it is, and an effort has been put in on adding new topics that are in sync with the recent developments in this field. | ||
| 521 | _aKEY FEATURES:- Four new chapters added that discusses recent advancements in Genetic Algorithms, Artificial Immune PROLOG being one of the popular languages for AI programming has been added in the form of a new cha Knowledge Representation, syllabus relevant topic, covered in a separate section (spanned over 8 cha All important Heuristic Techniques, including Hill Climbing, BFS, and Generate and Test have been co An exhaustive OLC in the face of none provided by competing titles | ||
| 650 |
_aArtificial Intelligence Cybernetics _971306 |
||
| 700 |
_aRICH (Elaine) _971307 |
||
| 700 |
_aKNIGHT (Kevin) _971308 |
||
| 700 |
_aNAIR (Shivashankar B) _971309 |
||
| 942 |
_2ddc _cBK |
||
| 999 |
_c226610 _d226610 |
||