DocumentCode :
2732789
Title :
Three qualitative simulation extensions for supporting economics models
Author :
Bridgeland, David Murray
Author_Institution :
Microelectron. & Comput. Technol. Corp., Austin, TX, USA
fYear :
1990
fDate :
5-9 May 1990
Firstpage :
266
Abstract :
Three extensions to qualitative simulation (QSIM) that permit modeling and simulation of a large class of economics problems are described. To be more powerful, financial expert systems need qualitative causal models in addition to associative knowledge. QSIM is a useful tool for building such models. However, building the models requires some extensions to QSIM. In particular, QSIM is unable to simulate the combination of average and marginal parameters or the constant time delays between actions and their effects, and it cannot treat certain statistics problems dynamically. Ways of overcoming these limitations so that a larger class of economics models can be simulated qualitatively are identified, and their implementation is described
Keywords :
digital simulation; economics; expert systems; financial data processing; QSIM; associative knowledge; constant time delays; economics models; economics problems; financial expert systems; modeling; qualitative causal models; qualitative simulation extensions; statistics problems; Artificial intelligence; Computational modeling; Computer simulation; Delay effects; Diagnostic expert systems; Expert systems; Microeconomics; Microelectronics; Power generation economics; Power system modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Applications, 1990., Sixth Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-2032-3
Type :
conf
DOI :
10.1109/CAIA.1990.89199
Filename :
89199
Link To Document :
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