</header><div itemprop="description" class="collapsable text"><p>This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty.</p><p>A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority a
Uncertainty in Artificial Intelligence
โ Scribed by John F. Lemmer, Laveen N. Kanal
- Publisher
- Elsevier Science Ltd
- Year
- 1988
- Tongue
- English
- Leaves
- 440
- Series
- Machine Intelligence and Pattern Recognition 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.
โฆ Subjects
Intelligence Semantics AI Machine Learning Computer Science Computers Technology Artificial New Used Rental Textbooks Specialty Boutique
๐ SIMILAR VOLUMES
</header><div itemprop="description" class="collapsable text"><p>This second volume is arranged in four sections: <STRONG>Analysis</STRONG> contains papers which compare the attributes of various approaches to uncertainty. <STRONG>Tools</STRONG> provides sufficient information for the reader to impl
</header><div itemprop="description" class="collapsable text"><p>Clearly illustrated in this volume is the current relationship between Uncertainty and AI.</p><p>It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is requ
This volume, like its predecessors, reflects the cutting edge of research on the automation of reasoning under uncertainty. A more pragmatic emphasis is evident, for although some papers address fundamental issues, the majority address practical issues. Topics include the relations between alternati
How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge from these papers rev