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Download Uncertainty in Artificial Intelligence by Ross D. SHACHTER, Tod S. LEVITT, Laveen N. KANAL and John F. LEMMER (Eds.) in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Uncertainty in Artificial Intelligence
Clearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.
Detailed Information
| Author: | Ross D. SHACHTER, Tod S. LEVITT, Laveen N. KANAL and John F. LEMMER (Eds.) |
|---|---|
| Publication Year: | 1990 |
| ISBN: | 9781483296548 |
| Pages: | 405 |
| Language: | English |
| File Size: | 24.463 |
| Format: | |
| Price: | FREE |
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