G. Antoniou
ABSTRACT
Business rules are statements which are used to run the activities of an organization. In the era of electronic commerce it is important for these rules to be represented explicitly, and to be automatically applicable. In this paper we argue that methods from the field of knowledge representation can be used for this purpose. In particular, we propose the use of defeasible reasoning, a simple but efficient reasoning method based on rules and priorities. We motivate the use of defeasible reasoning, give examples, describe two case studies, and outline current and future work in our research.
- G. Antoniou. Nonmonotonic Reasoning. MIT Press, 1997.Google Scholar
- G. Antoniou and M. Arief. Modelling business rules using defeasible logic. In Proceedings of Information Resources Management Association International Conference, 2000. Google ScholarDigital Library
- Australian Taxation Office. Guide to GST. 2000.Google Scholar
- Y. Lambrou, B. Grosof and H. Chan. A declarative approach to business rules in contracts: Courteous logic programs in xml. In Proc. 1st ACM Conference on Electronic Commerce, 1999. Google ScholarDigital Library
- C. Baral and M. Gelfond. Logic programming and knowledge representation. Journal of Logic Programming, 19,20:73-148, 1994.Google ScholarCross Ref
- D. Billington, G. Antoniou and M. Maher. Normal forms for defeasible logic. In Proc. 1998 Joint International Conference and Symposium on Logic Programming, pages 160-174. MIT Press, 1998. Google ScholarDigital Library
- D. Billington, G. Antoniou and M. Maher. On the analysis of regulations using defeasible rules. In Proc. 32nd Hawaii International Conference on Systems Sciences, 1999. Google ScholarDigital Library
- B. Grosof. Prioritized conflict handling for logic programs. In Proc. International Logic Programming Symposium, pages 197-211. MIT Press, 1997. Google ScholarDigital Library
- D. Hay and K. Healy. GUIDE - Business Rules Project, Final Report rev. 1.2. 1997.Google Scholar
- V. Marek and M. Truszczynski. Nonmonotonic Reasoning. Springer, 1993.Google Scholar
- L. Morgenstern and M. Singh. An expert system using nonmonotonic techniques for benefits inquiry in the insurance industry. In Proc. IJCAI-97. Morgan Kaufmann, 1997.Google Scholar
- D. Nute. Defeasible reasoning. In Proc. 20th Hawaii International Conference on Systems Sciences, pages 470-477. IEEE Press, 1987.Google Scholar
- R. Ross. The Business Rule Book: Classifying, Defining and Modeling Rules, 2nd edition. Business Rule Solutions, Inc., 1997.Google Scholar
- M. J. Sergot, F. Sadri, R. A. Kowalski, F. Kriwaczek, P. Hammond and H. T. Cory. The british nationality act as a logic program. Communications of the ACM, 29(5):370-386. Google ScholarDigital Library
- G. Simari and R. Loui. A Mathematical Treatment of Defeasible Reasoning and its Implementation. Artificial Intelligence, 53):125-157. Google ScholarDigital Library
- F. Stolzenburg and B. Thomas. Analyzing Rule Sets for the Calculation of Banking Fees by a Theorem Prover with Constraints. In Automated Deduction --- A Basis for Applications. Volume III: Applications, pages 243-264. Kluwer Academic, 1998.Google Scholar
Index Terms
- Executable declarative business rules and their use in electronic commerce
Recommendations
Business data management for business-to-business electronic commerce
Business-to-business electronic commerce (B2B EC) opens up new possibilities of trade. For example, new business partners from around the globe can be found, their offers can be compared, even complex negotiations can be conducted electronically, and a ...
Organization, strategy and business value of electronic commerce: the importance of complementarities
Managing e-commerce and mobile computing technologiesMany corporations are reluctant to adopt electronic commerce due to uncertainty in its profitability and business value. This chapter introduces a business value complementarity model of electronic commerce. The model relates high level performance ...
Comments