An agent oriented framework for automating rules in business processes

Saqib Ali*, Ben Soh, Torab Torabi

*Corresponding author for this work

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

2 Citations (Scopus)


Every action a business process performs must be explicitly anticipated, designed for and implemented by business professionals. The business process is dependent upon business rules (BR) to achieve its objectives, which also involve pre and post business process conditions. Most business rules (and laws) are buried in data warehouses as raw data. Incorporating the business rules into any business process is very complex, in terms of customisation, reuse, and system integration. Most of the current techniques implement these rules directly into business processes (BP). This will result in the BP becoming even more complicated and harder to customise. To overcome this problem we propose an agent oriented framework. In our proposed framework, we automate the process of incorporating BR into BP. The proposed agent is able to act without the intervention of humans or other systems. This agent creates a bridge between components of the business structure, the business rules and the business process. The proposed agents also have control over their own internal states and behaviour, which leads to an autonomous system.

Original languageEnglish
Title of host publicationProceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Number of pages5
Publication statusPublished - 2005
Event2005 3rd IEEE International Conference on Industrial Informatics, INDIN - Perth, Australia
Duration: Aug 10 2005Aug 12 2005


Other2005 3rd IEEE International Conference on Industrial Informatics, INDIN


  • Agent
  • Automation
  • Business processes
  • Component based
  • Rules model

ASJC Scopus subject areas

  • Engineering(all)


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