An agent-based legal knowledge acquisition methodology for agile public administration
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| Publication date | 2011 |
| Book title | Thirteenth International Conference on Artificial Intelligence and Law: ICAIL '11: proceedings of the conference, June 6-10, 2011, the University of Pittsburgh, Pennsylvania, USA |
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| Event | 13th International Conference on Artificial Intelligence and Law |
| Pages (from-to) | 171-180 |
| Publisher | New York, NY: ACM |
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| Abstract |
This paper proposes a knowledge elicitation method based on serious gaming for theory construction about the effects of the law on the behaviours of agents. These games provide input to simulations of business process and product design alternatives. For knowledge representation, we have combined agent role descriptions with a generic task framework. An important thesis of this paper is that, in the interest of quick and simple domain analysis, agent roles, not intelligent agents, should be the focal object of simulation of complex social organizations. At least if getting a grip on social complexity is the purpose of modeling.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/2018358.2018383 |
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