An Ontological Model of an Information System
IEEE Transactions on Software Engineering
Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
Formal Foundation and Conceptual Design of Dynamic Adaptations in a Workflow Management System
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 7 - Volume 7
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Correctness criteria for dynamic changes in workflow systems: a survey
Data & Knowledge Engineering - Special issue: Advances in business process management
Towards a framework for the agile mining of business processes
BPM'05 Proceedings of the Third international conference on Business Process Management
Flexible guideline-based patient careflow systems
Artificial Intelligence in Medicine
Using goals to identify aspects in business process models
Proceedings of the 2011 international workshop on Early aspects
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Learning how to improve business processes is an evolutionary process that must be managed as other business processes (BPs) are managed in modern organizations. The proposed model - the learning process model (LPM) - suggests a closed-loop-model approach applied to a generic process model (GPM), which is a formal state-based and goal-based approach to process modeling. LPM strives to establish a learning process by (1) identifying goal and soft-goal states of the initial process model, (2) identifying exceptional states and incomplete state definitions at runtime, and (3) adapting automatically the process model according to the discovered states. Modifications provided by the learning process may be sufficient or may need to be complemented by nonautomatic changes, when unacceptable business situations arise. The learning process also aims to adapt the current process model to possible technology, specific domain (e.g., clinical procedures at specific institutions), environmental requirements (e.g., regulations and policies), and process innovations. We demonstrate the application of LPM to a vaccination process.