Business process automation with representing and reasoning on trust

Kuldar Taveter

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

This article proposes a way how one could design and create systems to support decision-making within business processes by software agents. It argues that the RAP/AOR modelling framework lends itself to the natural representation of both business rules and processes, as well as of an agent's trust in another agent and its evolution. The framework also includes an efficient way of implementing business process automation systems based on XML and software agents. The author hopes this work to be a step towards effective creation of business process automation systems.
Original languageEnglish
Title of host publication3rd IEEE International Conference on Industrial Informatics, 2005. INDIN '05
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages312-318
ISBN (Print)0-7803-9094-6
DOIs
Publication statusPublished - 2005
MoE publication typeA4 Article in a conference publication
Event2005 3rd IEEE International Conference on Industrial Informatics, INDIN - Perth, Australia
Duration: 10 Aug 200512 Aug 2005

Publication series

SeriesIEEE International Conference on Industrial Informatics (INDIN)
Volume3
ISSN1935-4576

Conference

Conference2005 3rd IEEE International Conference on Industrial Informatics, INDIN
Country/TerritoryAustralia
CityPerth
Period10/08/0512/08/05

Keywords

  • business data processing
  • corporate modelling
  • decision making
  • inference mechanisms
  • office automation
  • software agents
  • AOR modelling framework
  • RAP modelling
  • XML
  • business process automation systems
  • decision-making

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