From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions
Giovanni Sileno, Alexander Boer, Tom van Engers
2014
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.
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Paper Citation
in Harvard Style
Sileno G., Boer A. and van Engers T. (2014). From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 622-631. DOI: 10.5220/0004909606220631
in Bibtex Style
@conference{icaart14,
author={Giovanni Sileno and Alexander Boer and Tom van Engers},
title={From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={622-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004909606220631},
isbn={978-989-758-015-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions
SN - 978-989-758-015-4
AU - Sileno G.
AU - Boer A.
AU - van Engers T.
PY - 2014
SP - 622
EP - 631
DO - 10.5220/0004909606220631