Optimizing Expert Systems: Heuristics for Efficiently Generating Low-Cost Information Acquisition Strategies
Published Online:1 Aug 1999https://doi.org/10.1287/ijoc.11.3.278
References
- AND/OR graphs heuristic search methods. J. ACM (1985) 32:28–51Crossref, Google Scholar
- Expert systems for configuration at digital. Comm. ACM (1989) 32:298–318Crossref, Google Scholar
- , Kodratoff Y. Evaluation of learning systems: an artificial data-based approach. Proc. Eur. Working Session Machine Learn (1991) (Springer-Verlag, Berlin) 463–481Google Scholar
- Classification and Regression Trees (1984) (Wadsworth Publishing, Belmont, CA) Google Scholar
- Admissibility of AO* when heuristics overestimate. Artificial Intelligence (1988) 34:97–113Crossref, Google Scholar
- Maintenance of Expert Systems (1993) (The A.P.I.C. Series, Number 40, Academic Press, San Diego, CA) Google Scholar
- Expert system design: Minimizing information acquisition costs. Decision Support Systems (1993) 9:161–181Crossref, Google Scholar
- Information theory applied to the conversion of decision tables to computer programs. Comm. ACM (1973) 16:532–539Crossref, Google Scholar
- Bayesian networks for data mining. Data Mining Knowledge Discovery (1997) 1:79–119Crossref, Google Scholar
- Decision theoretic troubleshooting. Comm. ACM (1995) 38:49–57Crossref, Google Scholar
- Constructing optimal binary decision trees is NP-complete. Inform. Processing Lett. (1976) 5:15–17Crossref, Google Scholar
- Sequential decision models for expert system design. IEEE Trans. Knowledge Data Engrg. (1997) 9:675–687Crossref, Google Scholar
- Optimizing decision trees through heuristically guided search. Comm. ACM (1977) 21:1025–1039Crossref, Google Scholar
- Inductive expert system design: Maximizing system value. Inform. Systems Res. (1993) 4:111–140Link, Google Scholar
- Improving the performance stability of inductive expert systems under input noise. Inform. Systems Res. (1995) 6:328–356Link, Google Scholar
- Redesigning case retrieval systems to reduce information acquisition costs. Inform. Systems Res. (1997) 8:51–68Link, Google Scholar
- A model of decision making with sequential information acquisition—Part I. Decision Support Systems (1986) 2:285–307Crossref, Google Scholar
- No summer reruns. AI Expert (1990) 10(6 October):65–66Google Scholar
- The use of background knowledge in decision tree induction. Machine Learn. (1991) 6:231–250Crossref, Google Scholar
- Application of heuristic search and information theory to sequential fault diagnosis. IEEE Trans. Systems, Man, Cybernetics (1990) 20:872–887Crossref, Google Scholar
- Heuristics: Intelligent Search Strategies for Computer Problem Solving (1984) (Addison Wesley, Reading, MA) Google Scholar
- Conversion of limited- entry decision tables to optimal computer programs. J. ACM (1966) 13:339–358Crossref, Google Scholar
- The synthetic approach to decision table conversion. Comm. ACM (1976) 19:343–351Crossref, Google Scholar
- Decision tables: A tool for tax practitioners. The Tax Advisor (1972) 3:336–345Google Scholar
- Innovative Applications of Artificial Intelligence (1991) 3(AAAI Press, Menlo Park, CA) Google Scholar
- Selecting construction formwork: An expert system adds economy. Expert Systems J. (1991) 3(1, Spring):5–16Google Scholar
- Cost sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. J. Artificial Intelligence Res. (1995) 2:369–409Crossref, Google Scholar

