Abstract
A legal advisory system is in principle an information system that does not collect and store data but regulations. In our system ADONIS regulations are stored in form of an object-oriented model that can be investigated by queries. Since regulations are frequently a subject to changes, the system has been implemented using adaptive programming to achieve a simple, cheap, and reliable maintenance. In this contribution, we present our experience with applying the adaptive programming technology for the purpose described above.
Cite
CITATION STYLE
Kroha, P., & Bürgel, S. (2002). Using adaptive programming in legal advisory systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2453, pp. 163–171). Springer Verlag. https://doi.org/10.1007/3-540-46146-9_17
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