Abstract
The paper presents the process of inferring decision rules from human behavioral data for the Rule-based Lens Model (RLM) to characterize noncompensatory human decisionmaking. People's use of noncompensatory fast & frugal heuristics is likely to be a pervasive component of adaptation in our increasingly technological world. We believe that RLM will make valuable contribution toward understanding human decision making behaviors in complex and dynamic environment. The proposed model would provide theoretical basis for the design of effective training and decision support systems.
Original language | English (US) |
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Pages | 776-781 |
Number of pages | 6 |
State | Published - 2007 |
Event | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States Duration: May 19 2007 → May 23 2007 |
Other
Other | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World |
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Country/Territory | United States |
City | Nashville, TN |
Period | 5/19/07 → 5/23/07 |
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering