TY - GEN
T1 - Designing object-oriented representations for reasoning from first-principles
AU - Benaroch, Michel
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 1992
Y1 - 1992
N2 - Modeling expert knowledge using 'situation-action' rules is not always feasible in knowledge intensive involving volatile knowledge. In such domains, the size and the dynamic nature of the search space make it extremely difficult to setup a rule base and keep it accurate. An alternative approach suggests that in some domains many of the rules that experts use can be derived by reasoning from 'first-principles'. That approach entails modeling experts' deep knowledge, and emulating the reasoning processes with deep knowledge that allow experts to derive many rules and their justification. This paper discusses the design and implementation of an object-oriented representation for the deep knowledge traders utilize in a business domain called hedging, which is knowledge intensive and involves volatile knowledge. It illustrates how deep knowledge modeled using that representation is used to support reasoning from first-principles. The paper also analyzes features of that representation that were found to be beneficial in the development of a knowledge-based system called INTELLIGENT-HEDGER.
AB - Modeling expert knowledge using 'situation-action' rules is not always feasible in knowledge intensive involving volatile knowledge. In such domains, the size and the dynamic nature of the search space make it extremely difficult to setup a rule base and keep it accurate. An alternative approach suggests that in some domains many of the rules that experts use can be derived by reasoning from 'first-principles'. That approach entails modeling experts' deep knowledge, and emulating the reasoning processes with deep knowledge that allow experts to derive many rules and their justification. This paper discusses the design and implementation of an object-oriented representation for the deep knowledge traders utilize in a business domain called hedging, which is knowledge intensive and involves volatile knowledge. It illustrates how deep knowledge modeled using that representation is used to support reasoning from first-principles. The paper also analyzes features of that representation that were found to be beneficial in the development of a knowledge-based system called INTELLIGENT-HEDGER.
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U2 - 10.1109/hicss.1992.183448
DO - 10.1109/hicss.1992.183448
M3 - Conference contribution
AN - SCOPUS:0027084707
SN - 081862440X
SN - 9780818624407
T3 - Proceedings of the Hawaii International Conference on System Science
SP - 547
EP - 556
BT - Proceedings of the Hawaii International Conference on System Science
PB - IEEE Computer Society
T2 - Proceedings of the 25th Hawaii International Conference on System Science. Part 4 (of 4)
Y2 - 7 January 1992 through 10 January 1992
ER -