CBRFlow: Enabling Adaptive Workflow Management Through Conversational Case-Based Reasoning
作者： Barbara Weber , Werner Wild , Ruth Breu
DOI: 10.1007/978-3-540-28631-8_32
关键词: Windows Workflow Foundation 、 Workflow technology 、 Case-based reasoning 、 Business rule 、 Workflow model 、 Business process 、 Artificial intelligence 、 Workflow 、 Computer science 、 Workflow engine 、 Software engineering 、 XPDL 、 Workflow management system 、 Reuse
摘要: In this paper we propose an architecture for adaptive workflow management system (WFMS) and present the research prototype CBRFlow. CBRFlow extends execution with conversational case-based reasoning (CCBR) to adapt predefined model changing circumstances provide WFMS learning capabilities. Business rules within are annotated during run-time context-specific information in form of cases using CCBR sub-system. When case reuse becomes frequent, manually refactored into foster automatic execution. This feedback supports continuous process improvement, resulting more manageable efficient business processes over time.
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