Authors:
Irene Barba
and
Carmelo Del Valle
Affiliation:
Universidad de Sevilla, Spain
Keyword(s):
Planning, Scheduling, Business Processes Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Formal Methods
;
Industrial Applications of AI
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Representation and Reasoning
;
Planning and Scheduling
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
Abstract:
Usually, business process models are manually achieved by business analysts and most of current modelling languages are of imperative nature. As a consequence, non-optimized or faulty models can be obtained. This work proposes a planning based approach to give business analysts assistance for the process models generation. This approach entails the selection and the order of the activities to be executed (planning), and the resources allocation involving temporal reasoning (scheduling), both considering function optimization. The process information is specified in a declarative way, that is translated into the standard planning language PDDL. A friendly graphic language is used (ConDec-R, an extension of ConDec).