Modelling human decision-making

被引：0
|
作者：
Robinson, S [1 ]
机构：
[1] Univ Warwick, Warwick Business Sch, Operat Res & Syst Grp, Coventry CV4 7AL, W Midlands, England
来源：
ESM 2003: 17TH EUROPEAN SIMULATION MULTICONFERENCE: FOUNDATIONS FOR SUCCESSFUL MODELLING & SIMULATION | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A series of projects have been, and are being, performed, that look at modelling human decision-making in simulations. The focus is on using a simulation to elicit knowledge about human decision-making. Artificial intelligence methods are then used to learn the humans' decision-making strategies. By linking the trained artificial intelligence system with the simulation, it is possible to assess the performance of the decision-maker. Results are presented from the most recent project. The motivation for modelling human decision-making is also discussed. In this work the prime motivation is to understand and improve decision-making, rather than to develop more accurate simulation models.
引用
收藏
页码：448 / 455
页数：8
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