A recognition-primed architecture for human-centric multi-agent systems

Xiaocong Fan

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

Abstract

Human-centric multi-agent systems in dynamic domains often involve a great level of human-agent collaboration where time stress and high stakes are the norm. Drawing upon Klein's recognition-primed decision model, we propose a recognition-primed agent architecture for building human-centric multi-agent systems. The concept of timed Petri nets is extended to explicitly capture the timing constraints and collaboration points along teamwork processes where both human and agents can play a role. In addition, we describe how the idea of recognition-primed agent architecture is implemented in SMMall-a framework for developing human-centric cognitive agents.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009
Pages200-205
Number of pages6
Publication statusPublished - 2009
Event21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009 - Boston, MA, United States
Duration: Jul 1 2009Jul 3 2009

Other

Other21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009
CountryUnited States
CityBoston, MA
Period7/1/097/3/09

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All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications

Cite this

Fan, X. (2009). A recognition-primed architecture for human-centric multi-agent systems. In Proceedings of the 21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009 (pp. 200-205)