Policy capturing for the rule-based lens model

Jing Yin, Ling Rothrock

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish (US)
Pages776-781
Number of pages6
StatePublished - Dec 1 2007
EventIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States
Duration: May 19 2007May 23 2007

Other

OtherIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World
CountryUnited States
CityNashville, TN
Period5/19/075/23/07

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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