From Inter-agent to Intra-agent Representations - Mapping Social Scenarios to Agent-role Descriptions

Giovanni Sileno, Alexander Boer, Tom van Engers

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.

References

  1. Abelson, R. P. and Schank, R. C. (1977). Scripts, plans, goals and understanding. Lawrence Erlbaum Ass.
  2. Bal, M. (1997). Narratology: Introduction to the Theory of Narrative. University of Toronto Press, 2nd edition.
  3. Boer, A. and van Engers, T. (2011a). An agent-based legal knowledge acquisition methodology for agile public administration. In Proc. of 13th Int. Conf. ICAIL 2011, 171-180.
  4. Boer, A. and van Engers, T. (2011b). Diagnosis of MultiAgent Systems and Its Application to Public Administration. In Business Information Systems Workshops, Lecture Notes in Business Information Processing, 97:258-269.
  5. Behrens, T. M. and Dix, J. (2008). Model checking multiagent systems with logic based Petri nets. Annals of Mathematics and Artificial Intelligence, 51(2-4):81- 121.
  6. Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming multi-agent systems in AgentSpeak using Jason. John Wiley & Sons Ltd.
  7. Bryson, J. (2003). The behavior-oriented design of modular agent intelligence. Agent technologies, infrastructures, tools, and applications for e-services, 61-76.
  8. Chandrasekaran, B., Smith, J. W., and Sticklen, J. (1989). 'Deep' models and their relation to diagnosis. Artificial Intelligence in Medicine.
  9. Charniak, E. (1972). Toward a model of children's story comprehension. Technical report, MIT.
  10. Chemero, A. (2003). An Outline of a Theory of Affordances. Ecological Psychology, 15(2):181-195.
  11. Conte, R. and Paolucci, M. (2011). On Agent Based Modelling and Computational Social Science. Available at SSRN 1876517.
  12. Damm, W. and Harel, D. (2001). LSCs: Breathing life into message sequence charts. In Formal Methods in System Design, 45-80.
  13. Diaz, A. F., Earle, C. B., and Fredlund, L.-A. k. (2012). eJason: an implementation of Jason in Erlang. Proc. of 10th Workshop PROMAS 2012.
  14. Fehling, R. (1993). A concept of hierarchical Petri nets with building blocks. Advances in Petri Nets, 674:148-168.
  15. Harel, D. and Thiagarajan, P. S. (2004). Message sequence charts. UML for Real: Design of Embedded Real-time Systems, 75-105.
  16. Hewitt, C., Bishop, P., and Steiger, R. (1973). A universal modular actor formalism for artificial intelligence. Proc. of IJCAI 1973, 235-245.
  17. Lehnert, W. G. (1981). Plot units and narrative summarization. Cognitive Science, 5(4):293-331.
  18. Lytinen, S. L. (1992). Conceptual dependency and its descendants. Computers & Mathematics with Applications, 23(2):51-73.
  19. Mateas, M. and Sengers, P. (1999). Narrative intelligence. In AAAI Fall Symposium on Narrative Intelligence.
  20. Mueller, E. T. (2003). Story understanding through multirepresentation model construction. In Text Meaning: Proc. of HLT-NAACL 2003 Workshop, 46-53.
  21. Rao, A. S. (1996). AgentSpeak (L): BDI agents speak out in a logical computable language. In Proc. of 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World.
  22. Roychoudhury, A. and Thiagarajan, P. (2003). Communicating transaction processes. Proc. of 3rd Int. Conf. on Application of Concurrency to System Design, 157- 166.
  23. Sileno, G., Boer, A., and Van Engers, T. (2012). Analysis of legal narratives: a conceptual framework. In Proc. of 25th Int. Conf. JURIX 2012, 143-146.
Download


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