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Formal REA model at operational level

Author

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  • Ito, Sohei
  • Vymetal, Dominik

Abstract

Despite a lot of attention gained by the Resource-Event-Agent (REA) framework among researchers in enterprise modeling, it still lacks comprehensive formal description. Most of the formalization approaches to REA use only UML or other graphical representation. This paper aims to define REA ontology at operational level using formal logic tools. The general approach to formal logic description of REA was motivated by LTAP introduced by Ito, Hagihara and Yonezaki. After basic REA concepts are presented, semantics and logical language LREA are defined including axioms for the REA operational level. Future research is shortly described in conclusion.

Suggested Citation

  • Ito, Sohei & Vymetal, Dominik, 2011. "Formal REA model at operational level," MPRA Paper 34766, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:34766
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    File URL: https://mpra.ub.uni-muenchen.de/34766/1/MPRA_paper_34766.pdf
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    Citations

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    Cited by:

    1. Sohei Ito & Dominik Vymětal & Roman Šperka & Michal Halaška, 2018. "Process mining of a multi-agent business simulator," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 500-531, December.
    2. Dominik Vymetal & Sohei Ito, 2016. "The Formalization of a Generic Trading Company Model Using Software Agents as Active Elements," Working Papers 0029, Silesian University, School of Business Administration.

    More about this item

    Keywords

    REA framework; formal models; modal logic;
    All these keywords.

    JEL classification:

    • A32 - General Economics and Teaching - - Multisubject Collective Works - - - Collective Volumes
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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