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Publicação
Cased Based Reasoning in Business Process Management Design
Orientador(es)
Resumo(s)
Case-based reasoning (CBR), another form of artificial intelligence, stores and retrieves past cases that can be adapted to find a solution to a current problem. The new solution can then be retained and made available to solve other future problems. Business Process Management analyzes and optimizes business processes to make them more effective and efficient for an organization’s strategy to ultimately increasing shareholder value. CBR can help to support BPM, making better decisions with existing knowledge when solving process problems. This study investigates effectively store, retrieve, and adapt Business Process Management Notation (BPMN) solutions that best fit the underlying BPM problem using CBR as a tool. Therefore, a theoretical model was proposed, containing each CBR live cycle phase with different possible tools applied to BPMN diagrams, which was validated by expert interviews. This study concludes that a whole CBR life cycle can be applied to BPMN diagram problems with the need for human intervention. The objective was not to solve the whole problem but to contribute to a possible solution by using CBR through a theoretical model.
Descrição
Tueschen, P., & dos Santos, V. D. (2021). Cased Based Reasoning in Business Process Management Design. In R. Silhavy (Ed.), Artificial Intelligence in Intelligent Systems - Proceedings of 10th Computer Science On-line Conference, 2021 (Vol. 2, pp. 722-741). (Lecture Notes in Networks and Systems; Vol. 229). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77445-5_65
Palavras-chave
Artificial intelligence Business process management Case-based reasoning Graph-edit distance Learning by analogy XPDL Control and Systems Engineering Signal Processing Computer Networks and Communications
Contexto Educativo
Citação
Editora
Springer Science and Business Media Deutschland GmbH