The pragmatic value of any information system, whether agent-oriented or not, depends critically on its fidelity in modelling the relevant aspects of the underlying business domain. Fact-oriented approaches to information modelling facilitate high fidelity models by lifting the specification of business facts and rules to a truly conceptual level where they can be easily validated with non-technical domain experts. Incorporating aspects of fact-orientation into agent-oriented approaches may well offer similar benefits. This paper reviews the principal concepts behind fact-orientation, and then discusses some lessons learned from early attempts to combine fact-orientation with two agent-oriented approaches. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Halpin, T. (2005). Fact-orientation meets agent-orientation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3508 LNAI, pp. 97–109). Springer Verlag. https://doi.org/10.1007/11426714_7
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