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Artificial Intelligence in business I: Applications, representation, acquisition and explanation*

Published online by Cambridge University Press:  07 July 2009

Daniel E. O'Leary
Daniel E. O'Leary
Affiliation:
School of Business, University of Southern California, Los Angeles, CA 90089-1421, USA
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Abstract

The purpose of this paper is to review the use of knowledge-based systems and artificial intelligence (AI) in business. Part I of this paper examines domain applications, the use of different knowledge representations, unique contributions for knowledge acquisition from the development of systems for business applications, and models of explanation for systems developed for business. In addition, the paper discusses the use of both normative and descriptive AI systems to model business judgments. Finally, the paper provides a summary of publication sources and meetings on business systems.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 8 , Issue 3 , September 1993 , pp. 187 - 199
Copyright
Copyright © Cambridge University Press 1993

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References

Anand, T and Kahn, G, 1992. “Spotlight: A data explanation system”. In: Proceedings of the Eighth Conference on Artificial Intelligence for Applications, Monterey, CA.Google Scholar
Back, B, 1991. An Expert System for Financial Statements Planning. Abo Akademy Press, Finland.Google Scholar
Back, B, 1992. “Assisting inexperienced accountants in developing financial statements”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(3) 155–162.Google Scholar
Bailey, A, Kiang, Y, Kuipers, B and Whinston, A, 1990. “Analytic review and qualitative and causal reasoning in auditing”. Unpublished paper, University of Arizona.Google Scholar
Bauer, R and Liepins, G, 1992. “Genetic algorithms and computerized trading strategies”. In: O'Leary, D and Watkins, P (eds.), Expert Systems in Finance, pp 89–100, North-Holland.Google Scholar
Biggs, S, Messier, W and Hansen, J, 1987. “A descriptive analysis of computer audit specialists' decision making behavior in advanced computer environments”. Auditing: A Journal of Theory and Practice 6(2) 1–21.Google Scholar
Bimson, K, Burns, L and Terrel, J, 1992. “A risk management expert system for dynamic problem solving”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(3) 09, 155–162.Google Scholar
Brown, C, 1988. “Tax expert systems in industry and accounting”. Expert Systems Review 1(3) 06, 9–16.Google Scholar
Brown, C, 1989. “Accounting expert systems: A comprehensive, annotated bibliography”. Expert Systems Review 11(1/2) 23–129.Google Scholar
Brown, C, 1991. “Expert systems in public accounting”. Expert Systems with Applications: An International Journal.Google Scholar
Brown, C, Nielson, N and Phillips, M, 1990. “Expert systems for personal financial planning”. Journal of Financial Planning 3(3) 137–143.Google Scholar
Brown, C, Nielson, N and Phillips, M, 1993. “Verification and validation of financial planning systems”. International Journal of Intelligent Systems in Accounting, Finance and Management 2(2).Google Scholar
Brown, C and Phillips, M, 1990. “Expert systems for management accountants”. Management Accounting LXXI, 01, 18–23.Google Scholar
Brown, C and Phillips, M, 1991. “Expert systems for internal auditing”. InternalAuditor 08, 23–28.Google Scholar
Brown, C and Streit, I, 1988. “A survey of tax expert systems”. Expert Systems Review 03, 6–12.Google Scholar
Byrnes, E, Campfield, T and Connor, B, 1989. “Tara: An intelligent assistant for foreign traders”. In: Schorr, H and Rappaport, A (eds.), Press.Google Scholar
Byrnes, E, Campfield, T, Henry, N and Waldman, S, 1991. “Inspector: An expert system for monitoring worldwide trading activities in foreign exchange”. In: Innovative Applications of Artificial Intelligence 2. AAAI Press.Google Scholar
Chandler, J and Liang, T, 1990. Developing Expert Systems for Business Applications. Merrill Publishing, OH.Google Scholar
Chang, A, Bailey, A and Whinston, A, 1992. “Multi-auditor decision making on internal control system reliability: a default reasoning approach”. Unpublished paper, 05.Google Scholar
Chung, H and Tam, K, 1993. “A comparative analysis of inductive learning algorithms”. International Journal of Intelligent Systems in Accounting, Finance and Management 2(1). 3–18.Google Scholar
Coakley, J and Brown, C, 1993. “Artificial neural networks applied to ratio analysis in the analytical review process”. International Journal of Intelligent Systems in Accounting, Finance and Management 2(1) 19–40.Google Scholar
Dalgren, K, 1988. Naive Semantics for Natural Language Understanding. Kluwer.Google Scholar
Dantizig, O, 1964. Linear Programming. Princeton University Press.Google Scholar
Denna, E, Hansen, J, Meservy, R and Wood, L, 1992. “Case-based reasoning and risk assessment in audit judgment”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(3), 09, 163–172.Google Scholar
Denning, D, 1987. “An intrusion-detection model”. IEEE Transactions on software Engineering 13(2), 02, 222–232.Google Scholar
Duchessi, P, Shawky, H and Seagle, J, 1988. “A knowledge-engineered system for commercial loan decisions”. Financial Management. Autumn, 57–65.Google Scholar
Dungan, C, 1983. “A model of an audit judgment in the form of an expert system”. University of Illinois, Unpublished Ph.D. dissertation.Google Scholar
Edwards, W, 1991. “Influence diagrams, bayesian imperialism and the Collins case: An appeal to reason”. The Cardozo Law Review, 11, 1025–1074.Google Scholar
Goldstein, R and Storey, V, 1991. “The commonsense business reasoner”. In: Proceedings of the 2nd International Conference on Database and Expert System Applications, pp 124–129. Berlin, Germany.CrossRefGoogle Scholar
Goodman, M, 1991. “Prism: A case-based telex classifer”. In: Innovative Applications of Artificial Intelligence. AAAI Press.Google Scholar
Greene, D, Meservy, R and Smith, S, 1992. “Learning audit selection rules from data: A genetic algorithm approach. In: O'Leary, D and Watkins, P (eds.), Expert Systems in Finance, pp 185–202. North-Holland.Google Scholar
Halper, F, Snively, J and Vasarhelyi, M, 1989. “The continuous audit of on-line systems”. Unpublished paper presented at the Second International Symposium on Expert Systems in Business, Finance and Accounting.Google Scholar
Hamscher, W, 1989. “Business as a domain for model-based reasoning: A proposal to use explicit representation of the structure and behavior of business entities for assessing audit risk”. In: Workshop on Model-based Reasoning, Detroit, MI.Google Scholar
Hamscher, W, 1991. “Model-based financial data interpretation”. In: 1st International Conference on Al on Wall Street 10.Google Scholar
Hamscher, W, 1992. “Model-based reasoning in financial domains”. PW–TR–No. 27. Price Waterhouse, Menlo Park, CA 94025.Google Scholar
Harris, M, 1992. “Natural language in banking”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(2), 05, 65–73.Google Scholar
Helfert, E, 1988. Techniques of Financial Analysis. Irwin, R. D..Google Scholar
Hollander, A, 1990. “Using rules to model variance analysis”. Expert Systems Review 2(3) 46–52.Google Scholar
Holsapple, C, Tam, K and Whinston, A, 1988. “Adapting expert system technology to financial management”. Financial Management Autumn, 12–22.Google Scholar
Humpert, B and Holley, P, 1988. “Expert Systems in Finance Planning”. International Journal of Knowledge Engineering, 05, 84–85.Google Scholar
Jacob, V and Turner, J, 1992. “FRACAS: A computerized aid for reasoning in tax”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(2), 05, 103–122.Google Scholar
Jhee, W and Lee, J, 1993. “Performance of neural networks in managerial forecasting”. International Journal of Intelligent Systems in Accounting, Finance and Management 2(1), 01, 55–72.Google Scholar
Kass, R and Stadnyk, I, 1992. “Intelligent assistance for the communication of information in large organizations”. In: Proceedings of the Eighth Conference on Artificial Intelligence for Applications. Monterey, CA, 03, 2–6.Google Scholar
Kastner, J, Apte, C, Griesmer, J, Hong, S, Karnaugh, M, Mayes, E and Tozawa, Y, 1986. “A knowledge-based consultant for financial marketing”. Al Magazine 7(5) 71–79.Google Scholar
Kosy, D and Wise, B, 1984. “Self explanatory financial planning models”. In: Proceedings of AAAI-84. pp 176–181. Morgan Kaufmann, Los Angeles.Google Scholar
Kosy, D, 1989. “Applications of explanation in financial modelling”. In: Widman, L, Loparo, K and Nielsen, N (eds.), Artificial 'Intelligence, Simulation and Modeling. pp 487–509. Wiley-lnterscience.Google Scholar
Lecot, K, 1988. “Using expert systems in banking: The case of fraud detection and prevention”. Expert Systems Review 1(3), 06, 17–20.Google Scholar
Liebowitz, J, 1990. Expert Systems for Business and Management. Yourdon Press, Englewood Cliffs, NJ.Google Scholar
Lundberg, C and Barna, A, 1992. “Modeling commodity trading expertise”. In: O'Leary, D and Watkins, P (eds.), Expert Systems in Finance, pp 65–88. North-Holland.Google Scholar
Malhotra, A, 1975. “Design criteria for a knowledge-based english language system for management”. Unpublished PhD dissertation. MIT.Google Scholar
Mani, O, 1992. “The dime system: A preliminary report”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(2), 05, 29–40.Google Scholar
McCarty, LT, 1977. “Reflections on TAXMAN: An experiment in artificial intelligence and legal reasoning”. Harvard Law Review 90(5), 03, 837–893.CrossRefGoogle Scholar
Meservy, R, 1985. “Internal Control Evaluation: A Computational Model of the Review Process”. Unpublished PhD dissertation, University of Minnesota.Google Scholar
Michaelson, R, 1982. “A knowledge-based expert system for individual income and transfer tax planning”. Unpublished PhD dissertation, University of Illinois.Google Scholar
Michaelson, R and Messier, W, 1987. “Expert systems in taxation”. The Journal of the American Taxation Association (2) 7–21.Google Scholar
Newquist, H, 1987. “American Express and Al: Don't leave home without them”. Al Expert.Google Scholar
O'Leary, D, 1987. “The use of artificial intelligence in accounting”. In: Expert Systems for Business, pp 99–119. Addison-Wesley.Google Scholar
O'Leary, D,1991. “Artificial intelligence in accounting databases”. Expert Systems with Applications 3(1), 143–152.Google Scholar
O'Leary, D, 1992a. “Case-based reasoning and multiple agent systems for accounting regulation systems with extensions”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(1), 01, 41–52.Google Scholar
O'Leary, D, 1992b. “On the quality of a computer program”. European Journal of Operational Research 56(3), 02, 319–331.CrossRefGoogle Scholar
O'Leary, D, 1992c. “Intrusion-detection systems”. Journal of Information Systems 7.Google Scholar
O'Leary, D, 1993. “Issues in Bayes nets and influence diagrams: With applications in accounting and auditing”. In: Artificial Intelligence in Accounting and Auditing, II. Markus Weiner.Google Scholar
O'Leary, D and Kandelin, N, 1992. “Accountant: A domain dependent accounting language processing system”. In: D O'Leary and P Watkins (eds.), Expert Systems in Finance, pp 253–267.Google Scholar
O'Leary, D and Karlinsky, S, 1992. “Tax-based expert systems: A first principles approach”. In: O'Leary, D and Watkins, P (eds.), Expert Systems in Finance, pp 163–184. North-Holland.Google Scholar
O'Leary, D and Watkins, P, 1989. “Review of expert systems in auditing”. Expert Systems Review 2(1/2).Google Scholar
O'Leary, D and Watkins, P, 1990. “Knowledge acquisition for a knowledge-based task”. In: Data, Expert Knowledge and Decisions. Springer-Verlag.Google Scholar
O'Leary, D and Watkins, P, 1992. Expert Systems in Finance. North-Holland.Google Scholar
Peters, J, 1992. “Knowledge representation issues in complex decision domains: An example from inherent risk assessment”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(1) 9–20.Google Scholar
Pinson, S, 1992. “A multi-expert architecture for credit risk assessment: The CREDEX system”. In: O'Leary, D and Watkins, P (eds.), Expert Systems in Finance, pp 37–64. North-Holland.Google Scholar
Phillips, M, Brown, C and Nielson, N, 1990. “Using expert systems to provide personal financial planning benefits to employees”. Management Accounting LXII(3) 29–33.Google Scholar
Phillips, M, Brown, C and Nielson, N, 1992. “An evaluation of expert systems for personal financial planning”. Financial Counseling and Planning 3 1–25.Google Scholar
Raghupathi, W and Schkade, L, 1992. “The SKADELITorSET expert system for corporate ‘litigate or settle’ decisions”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(4), 12.Google Scholar
Rangaswamy, A, Burke, R, Wind, J and Eliashberg, J, 1987. “Expert systems for marketing”. Marketing Science Institute Report 87–107. Cambridge MA.Google Scholar
Rangaswamy, A, 1992. “Marketing decision models: from linear programs to knowledge-based systems”. MS/OR in Marketing. Elsevier.Google Scholar
Rowe, G and Wright, G, 1993. “Expert Systems in insurance”. International Journal of Intelligent Systems in Accounting, Finance and Management 2(2) 129–145.Google Scholar
Sahin, K and Sawyer, K, 1989. “The intelligent banking system: Natural language processing for financial applications”. In: Schoor, H and Rappaport, A (eds.), Innovative Applications of Artificial Intelligence. AAAI Press.Google Scholar
Schank, R, 1978. “Computer understanding of natural language”. Behavioral Research Methods & Instrumentation 10(2) 132–138.Google Scholar
Selfridge, M and Biggs, S, 1990. “The architecture of expertise: The auditor's going concern judgment”. Expert Systems Review 2(3) 3–18.Google Scholar
Shanker, G, Nilakanta, S and Norris, D, 1992. “An exploratory analysis of accounting expert system abstracts”. International Journal of Intelligent Systems in Accounting, Finance and Management 1(3) 207–220.Google Scholar
Shaw, M and Gentry, J, 1988. “Using an expert system with inductive learning to evaluate business loans”. Financial Management, Autumn, 45–56.Google Scholar
Shpilberg, D and Graham, L, 1986. “Developing ExperTAX: An expert system for corporate tax accrual and planning”. Auditing 6(1), Fall, 75–94.Google Scholar
Silverman, B, 1987. Expert Systems for Business. Addison Wesley.Google Scholar
Srivastava, R and Shafer, G, 1992. “Belief function formulas for audit risk”. The Accounting Review, 04, 249–283.Google Scholar
Tenor, W, 1988. “Expert systems for security”. Expert Systems Review 1(2) 3–5.Google Scholar
Thompson, D and Bailey, D, 1990. “Financial expert systems”. PC Al 03-04, 20–23.Google Scholar
Tyagi, S, 1987. “Al applications find trading systems niche”. Wall Street Computer Review, 06, 52–56.Google Scholar
Watkins, P and Eliot, L, 1993. Expert Systems in Business and Finance. Wiley.Google Scholar
Wright, G and Rowe, G, 1993. “Expert systems in the UK life insurance industry: Current status and future trends”. international Journal of Intelligent Systems in Accounting, Finance and Management 2(2) 113–128.Google Scholar