Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/32279
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jones, M. Tim | en_US |
dc.date.accessioned | 2019-03-19T08:33:15Z | - |
dc.date.available | 2019-03-19T08:33:15Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.isbn | 9780763773373 | en_US |
dc.identifier.isbn | 0763773379 | en_US |
dc.identifier.other | HPU1161206 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/32279 | - |
dc.description.abstract | This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book. | en_US |
dc.format.extent | 516 p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | Jones and Bartlett Publishers, Inc | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Technology | en_US |
dc.subject | Computers | en_US |
dc.subject | Cybernetics | en_US |
dc.title | Artificial Intelligence. A Systems Approach | en_US |
dc.type | Book | en_US |
dc.size | 8,572 KB | en_US |
dc.department | Technology | en_US |
Appears in Collections: | Technology |
Files in This Item:
File | Description | Size | Format | |
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Artificial-Intelligence-A-Systems-Approach-1230.pdf Restricted Access | 8.57 MB | Adobe PDF | View/Open Request a copy |
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