AI planning: solutions for real world problems

Aylett, Ruth; Petley, Gary; Chung, Pei-Jung; Chen, B.; Edwards, Derek

doi:10.1016/s0950-7051(00)00047-2

Cited by 9 publications

(2 citation statements)

References 19 publications

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“…We support the automatic serialization by using planning methods from the field of artificial intelligence (AI). It has been shown that AI planning is a technology suitable for many real world problems like the chemical and consulting industry [20], [21]. The planning problem in AI is about the decision making when trying to achieve certain goals.…”

Section: Introductionmentioning

confidence: 99%

Run-Time Composition of Partly Structured Business Processes Using Heuristic Planning

Sprovieri

Vogler

2015

2015 International Conference on Enterprise Systems (ES)

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Context: Organizations act in a highly competitive markets, which forces them to be able to quickly adapt and optimize their processes. Case Management Model and Notation (CMMN) supports modelling run-time adaptation of partially structured business process models, but does neither allow selection nor sequence of tasks. Objective: Our goal is to develop an approach that computes sequences of tasks such that a context-specific goal is satisfied. We apply the SMA* algorithm to support run-time planning of partly structured parts of a business process in order to find an appropriate sequence of tasks. Method: We perform a literature review in order to derive the most suitable heuristic search algorithm. To support the selection and specification of tasks, we extend the CMMN metamodel. A running example is presented to show practical applicability of the approach. Results: The extension of the CMMN metamodel reflects the requirements for serializing tasks at run-time. Furthermore, we modified the SMA* algorithm and defined a heuristic function. Conclusion: Our approach allows to automatically derive execution plans for partly structured business processes depending on the context.

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Section: Introductionmentioning

confidence: 99%

Run-Time Composition of Partly Structured Business Processes Using Heuristic Planning

Sprovieri

Vogler

2015

2015 International Conference on Enterprise Systems (ES)

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“…Through the framework, advances in SAT technology can conveniently apply to planning, and hence improve the performance of SAT based planners. As applications of planning to real world problems are increasing [1,20], improving the efficiency of planning systems has become a focus.…”

Section: Introductionmentioning

confidence: 99%