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Discovering a Decision Maker's Mental Model with Instance-Based Cognitive Mining:
2009
Interdisciplinary Journal of Information, Knowledge, and Management
The purpose of this paper is to provide a theoretical justification for, and describe an implementation of, instance-based cognitive mining (ICM), a process that analyzes multiple decision instances using the inductive learning algorithms of artificial intelligence to generate a mathematical representation of the decision maker's mental models, explicitly relating how the decision maker implicitly selects and weighs key factors in making decisions within a specific problem domain. The
doi:10.28945/61
fatcat:y26tnf4ldvazph6puxhlpkakoq