Artificial IntelligenceThe breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference. |
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Contents
8 | 231 |
Expert Systems | 233 |
Weak SlotandFiller Structures | 251 |
Copyright | |
16 other sections not shown
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Common terms and phrases
actions active addition agents algorithm allow answer applied approach attributes becomes belief block build called Chapter choose combined complete concept consider constraints contains corresponding define dependency described discussed domain efficient elements example fact Figure frame function given goal heuristic important inheritance initial input instance interpretation John kinds knowledge knowledge base labeled language learning logic look match meaning methods move natural necessary node object occur operators output particular path perform position possible preconditions predicate problem procedure produce properties question reasoning relation represent representation result rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific step stored structure Suppose task techniques things tree true understanding units weights
Bibliographic information
| Title | Artificial Intelligence Artificial Intelligence Series Mac Graw-Hill series in artificial inteligence |
| Authors | Elaine Rich, Kevin Knight, Knight Kevin |
| Edition | 2, illustrated |
| Publisher | McGraw-Hill, 1991 |
| ISBN | 0070522634, 9780070522633 |
| Length | 621 pages |
| Subjects | › Computers / Intelligence (AI) & Semantics |
| Export Citation | BiBTeX EndNote RefMan |