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The objective of this course is to make students to: 1. Understand the concepts of AI and Intelligent Agents. 2. Explore Problem solving using search techniques in AI. 3. Understand Logical Agents and First-Order logic. 4. Explore knowledge Representation issues. 5. Understand concepts of learning from examples. At the end of the course, students should be able to: 1. Understand foundation and basic concepts of AI and Intelligent Agents. 2. Evaluate Searching techniques for problem solving in AI. 3. Apply First-order Logic and chaining techniques for problem solving. 4. Handle knowledge representation techniques for problem solving. 5. Apply supervised learning and Neural Networks for solving problem in AI.
| Autorius: | Balakrishnan Subramanian, Janet Jude, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2017 |
| Knygos puslapių skaičius: | 196 |
| ISBN-10: | 3330319887 |
| ISBN-13: | 9783330319882 |
| Formatas: | 220 x 150 x 12 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Artificial Intelligence and Expert Systems“
