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
Problems Problem Spaces and Search | 29 |
7 | 61 |
Knowledge Representation Issues | 105 |
Copyright | |
11 other sections not shown
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Common terms and phrases
active addition agents algorithm allow answer apply approach assertions becomes belief build called Chapter choose clauses combined complete concept consider consistent constraints contains corresponding define dependency described discussed domain elements example fact Figure function given goal heuristic important 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 predicate present problem procedure produce properties question reasoning relation represent representation result robot rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific statements step stored structure Suppose task techniques things tree true understanding units usually variables 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 |