Achieving intention-centric BPM through automated planning

Beest, Nick R.T.P. van, Russell, Nick, ter Hofstede, Arthur H.M., & Lazovik, Alexander (2014) Achieving intention-centric BPM through automated planning. In Proceedings of 2014 IEEE 7th International Conference on Service-Oriented Computing and Applications, IEEE, Matsue, Japan, pp. 191-198.

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Abstract

As a result of the more distributed nature of organisations and the inherently increasing complexity of their business processes, a significant effort is required for the specification and verification of those processes. The composition of the activities into a business process that accomplishes a specific organisational goal has primarily been a manual task. Automated planning is a branch of artificial intelligence (AI) in which activities are selected and organised by anticipating their expected outcomes with the aim of achieving some goal. As such, automated planning would seem to be a natural fit to the BPM domain to automate the specification of control flow. A number of attempts have been made to apply automated planning to the business process and service composition domain in different stages of the BPM lifecycle. However, a unified adoption of these techniques throughout the BPM lifecycle is missing. As such, we propose a new intention-centric BPM paradigm, which aims on minimising the specification effort by exploiting automated planning techniques to achieve a pre-stated goal. This paper provides a vision on the future possibilities of enhancing BPM using automated planning. A research agenda is presented, which provides an overview of the opportunities and challenges for the exploitation of automated planning in BPM.

Impact and interest:

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ID Code: 83599
Item Type: Conference Paper
Refereed: Yes
Keywords: business data processing, organisational aspects, planning (artificial intelligence), Service-orientated archiecture, BPM lifecycle
DOI: 10.1109/SOCA.2014.45
ISBN: 9781479968336
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Deposited On: 16 Apr 2015 01:42
Last Modified: 16 Apr 2015 01:42

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