Discovering a Decision Maker ’ s Mental Model with Instance-Based Cognitive Mining : A Theoretical Justification and Implementation
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Summary
A theoretical justification for, and an implementation of, instance-based cognitive mining, 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.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 9
- References
- 53
- OpenAlex
- https://openalex.org/W221236202
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15210953
Keywords
Tacit knowledge, Set (abstract data type), Cognition, Instinct, Representation (politics)
References
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- Inside Case-Based Reasoning
- Lessons from a Dozen Years of Group Support Systems Research: A Discussion of Lab and Field Findings
- Mapping Strategic Thought
- Toward a Methodology for the Measurement of Knowledge Structures of Ordinary People
- The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.
- Extracting, Representing, and Analyzing Mental Models
- The Concept of “Ba”: Building a Foundation for Knowledge Creation
- MULTIPLE SCENARIO DEVELOPMENT: ITS CONCEPTUAL AND BEHAVIORAL FOUNDATION
- Handbook of individual differences, learning, and instruction.
- Some Experiments with a Hybrid Model for Learning Sequential Decision Making
- Breaking the frame: an analysis of strategic cognition and decision making under uncertainty
- Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
Cited by
- Cognitive Decision-Making Process as Context Information
- A novel two-stage method for acquiring engineering-oriented empirical tacit knowledge
- Decision Support as Knowledge Creation: A Business Intelligence Design Theory
- An investigation on tacit knowledge transfer among aircraft engineer: Malaysia experience
- A case study on the representation of cognitive decision-making within business process
- A comparative study of the application of systems thinking in achieving organizational effectiveness in Malaysian and Pakistani banks
- Cognitive Modeling of Anticipation: Unsupervised Learning and Symbolic Modeling of Pilots' Mental Representations
- Model-Based Learning and Performance
- Cognitive Information in Business Process - Decision-Making Results
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