000 | 01051 a2200181 4500 | ||
---|---|---|---|
020 | _a9789354493782 | ||
082 | _a006.3 LUG | ||
100 | _aLuger, George F | ||
245 | _aArtificial Intelligence: Structures and Strategies for Complex Problem Solving | ||
250 | _a6 | ||
260 |
_bPerson _aNoida _c2021 |
||
300 | _a754 | ||
520 | _aideal for an undergraduate course in artificial intelligence, the sixth edition presents the fundamental concepts of the discipline first and then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. It includes perception and adaptation using neural networks and genetic algorithms, intelligent agents with ontologies, automated Reasoning, natural language analysis, and stochastic approaches to machine learning. New! Br>chapter 13, probabilistically-based machine learning covers stochastic methods that support machine learning. | ||
650 | _aArtificial Intelligence | ||
650 | _aMachine Learning | ||
650 | _aProblem Solving | ||
942 |
_cBB _2ddc |
||
999 |
_c45452 _d45452 |