From Inter-Agent to Intra-Agent Representations: Mapping Social Scenarios to Agent-Role Descriptions

Open Access
Authors
Publication date 2014
Host editors
  • B. Duval
  • H.J. van den Herik
  • S. Loiseau
  • J. Filipe
Book title ICAART 2014: proceedings of the 6th International Conference on Agents and Artificial Intelligence: 6-8 March, 2014, ESEO, Angers, Loire Valley, France. - Vol. 1
ISBN
  • 9789897580154
Event 6th International Conference on Agents and Artificial Intelligence (ICAART 2014)
Pages (from-to) 622-631
Publisher SciTePress Science and Technology Publications
Organisations
  • Faculty of Law (FdR) - Leibniz Center for Law (FdR)
Abstract
The paper introduces elements of a methodology for the acquisition of descriptions of social scenarios (e.g. cases) and for their synthesis to agent-based models. It proceeds along three steps. First, the case is analyzed at signal layer, i.e. the messages exchanged between actors. Second, the signal layer is enriched with implicit actions, intentions, and conditions necessary for the story to occur. This elicitation is based on elements provided with the story, common-sense, expert knowledge and direct interaction with the narrator. Third, the resulting scenario representation is synthesized as agent programs. These scripts correspond to descriptions of agent-roles observed in that social setting.
Document type Conference contribution
Language English
Published at https://doi.org/10.5220/0004909606220631
Downloads
ICAART2014 (1) (Accepted author manuscript)
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