Uncertainty in Artificial Intelligence 4
| Autor: | T.S. Levitt, L.N. Kanal, J.F. Lemmer, R.D. Shachter |
|---|---|
| EAN: | 9781483296548 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 28.06.2014 |
| Kategorie: | |
| Schlagworte: | Bayesian theory decision fuzzy logic models probability sensitivity analysis uncertainty |
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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.