Team-RPD: A collaborative model of the recognition-primed decision process

Xiaocong Fan, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The Recognition-Primed Decision (RPD) framework is a naturalistic decision making model that focuses on how people actually make decisions in realistic settings that typically involve ill-structured problems. In this paper, we generalize the existing studies on RPD and propose a Team-RPD representation model that treats a situation as a layered organization of state variables, and the decision process as a timed transition Petri net. This model can serve as a foundation for implementing agent architectures and multi-agent systems with built-in supports for naturalistic decision making.

Original languageEnglish (US)
Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
Pages136-139
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 - Sydney, NSW, Australia
Duration: Dec 9 2008Dec 12 2008

Publication series

NameProceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008

Other

Other2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008
CountryAustralia
CitySydney, NSW
Period12/9/0812/12/08

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Fan, X., & Yen, J. (2008). Team-RPD: A collaborative model of the recognition-primed decision process. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008 (pp. 136-139). [4740612] (Proceedings - 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2008). https://doi.org/10.1109/WIIAT.2008.44