An extended bdi-based model for human decision-making and social behavior: Various applications

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

1 Scopus citations

Abstract

An extended Belief-Desire-Intention (BDI) modeling framework has been developed and refined by the author's research group in the last decade to mimic realistic human decision-making and social behaviors. The goal of this manuscript is to discuss various applications that the proposed modeling framework has been applied, such as 1) evacuation behaviors under a terrorist bomb attack, 2) pedestrian behaviors in the Chicago Loop area, 3) workforce assignment in a multi-organizational social network for community-based software development, 4) pedestrian behaviors in a shopping mall, 5) evacuation behaviors under fire in a factory, and 6) error detection and resolution by people in a complex manufacturing facility.

Original languageEnglish (US)
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages171-174
Number of pages4
Volume539
ISBN (Print)9783319042794
DOIs
StatePublished - 2014

Publication series

NameStudies in Computational Intelligence
Volume539
ISSN (Print)1860949X

Keywords

  • Bayesian belief network
  • BDI
  • Human decision behavior
  • Planning

ASJC Scopus subject areas

  • Artificial Intelligence

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    Son, Y-J. (2014). An extended bdi-based model for human decision-making and social behavior: Various applications. In Studies in Computational Intelligence (Vol. 539, pp. 171-174). (Studies in Computational Intelligence; Vol. 539). Springer Verlag. https://doi.org/10.1007/978-3-319-04280-0_19