KSL-87-52 + redirect page
Advice Generation in an Axiomatically-Based Expert System + Has identifier
Advice Generation in an Axiomatically-Based Expert System + Ksl tr id
Advice Generation in an Axiomatically-Based Expert System + Number
| Advice Generation in an Axiomatically-Based Expert System |
Bibtype
techreport
Has publishing details
1987
Has title
Advice Generation in an Axiomatically-Based Expert System
Has where published
KSL-87-52
Has year
1987
Title
Advice Generation in an Axiomatically-Based Expert System
Year
1987
Abstract
We distinguish axiomatically-based expert … We distinguish axiomatically-based expert systems, whose design and implementation are guided by one or more axiomatically-based theories of decision-making (e.g., decision theory, Bayesian probability theory,.maximum entropy theory), from traditional expert systems. An analysis of the knowledge acquisition and computational needs of axiomatically-based expert systems is presented. An explicit quantitative comparison is made between the actual knowledge acquisition effort required to build an existing system, and the effort that would be required to build an analogous axiomatically-based advice system. The costs and benefits of the axiomatic approach are discussed. The results suggest that the additional initial costs of knowledge acquisition for the axiomatic approach are outweighed by the long-term benefits this approach provides. long-term benefits this approach provides.
Address
Washington, DC +
Author
Curtis Langlotz +
Has author
Curtis Langlotz +
Has identifier
Advice Generation in an Axiomatically-Based Expert System +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Advice Generation in an Axiomatically-Based Expert System +
Number
Advice Generation in an Axiomatically-Based Expert System +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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