A Probabilistic BPMN Normal Form to Model and Advise Human Activities

  • Hector G. Ceballos
  • Victor Flores-Solorio
  • Juan Pablo Garcia
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9318)

Abstract

Agent-based technologies, originally proposed with the aim of assisting human activities, have been recently adopted in industry for automating business processes. Business Process Model and Notation (BPMN) is a standard notation for modeling business processes, that provides a rich graphical representation that can be used for common understanding of processes but also for automation purposes. We propose a normal form of Business Process Diagrams based on Activity Theory that can be transformed to a Causal Bayesian Network, which in turn can be used to model the behavior of activity participants and assess human decision through user agents. We illustrate our approach on an Elderly health care scenario obtained from an actual contextual study.

Keywords

BPMN Agent-based systems engineering Bayesian networks Activity theory 
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Notes

Acknowledgments

This research was supported by Tecnologico de Monterrey through the “Intelligent Systems” research group, and by CONACyT through the grant CB-2011-01-167460.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Hector G. Ceballos
    • 1
  • Victor Flores-Solorio
    • 1
  • Juan Pablo Garcia
    • 2
  1. 1.Tecnologico de MonterreyCampus MonterreyMonterreyMexico
  2. 2.Universidad Autonoma de Baja CaliforniaMexicaliMexico

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