Description
Knowledge representation and reasoning is a prominent subject of study within the field of artificial intelligence that is concerned with the symbolic representation of knowledge in such a way to facilitate automated reasoning about this knowledge. Often in real-world domains, it is necessary to perform defeasible reasoning when representing default behaviors of systems.
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Contributors
- Bartholomew, Michael James (Author)
- Lee, Joohyung (Thesis advisor)
- Bazzi, Rida (Committee member)
- Colbourn, Charles (Committee member)
- Fainekos, Georgios (Committee member)
- Lifschitz, Vladimir (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016
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Note
- Partial requirement for: Ph.D., Arizona State University, 2016Note typethesis
- Includes bibliographical references (pages 285-288)Note typebibliography
- Field of study: Computer science
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by Michael James Bartholomew