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| Content Provider | ACM Digital Library |
|---|---|
| Editor | Price, Keith |
| Abstract | The authors have fulfilled three criteria in their Introduction to AI: firstly, to present enduring aspects of the field; secondly to present AI as a coherent body of ideas and methods (spanning the last two decades), translating them into a uniform set of concepts; and thirdly, to acquaint the student not only with the classic programs in the field, but with the underlying mathematical and linguistic theory as well. The material is comprehensive and maintains a well-balanced approach to this rapidly developing field. Written to accommodate a wide variety of backgrounds, the text assumes minimal programming experience, and is formatted to suite any type of curriculum. Chapter 1 introduces the concept of "internal representation," setting the foundation for the following chapters. Other important topics include reasoning under uncertainty, robot plans, language understanding, and learning. Throughout the book the authors have presented the history of the field as well as intellectual links to related disciplines. Pedagogical aids include end-of-chapter exercises, through references and digressionary boxes. |
| Starting Page | 15 |
| Ending Page | 19 |
| Page Count | 5 |
| File Format | |
| ISSN | 01635719 |
| DOI | 10.1145/15715.1057989 |
| Journal | ACM SIGART Bulletin (SGAR) |
| Issue Number | 96 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1973-08-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Book Review |
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