The Prescriptive Orientation of Decision Making: A Synthesis of Decision Analysis, Behavioral Decision Making, and Game Theory

Author(s):  
Howard Raiffa
2020 ◽  
Vol 48 (10) ◽  
pp. 1-9
Author(s):  
Ran Zhang ◽  
Luming Zhao ◽  
Lin Wu ◽  
Hongxu Chen ◽  
Gaoxing Zhou ◽  
...  

The framing effect is a key topic that has been insufficiently studied in research on behavioral decision making. In our study we explored the effects of optimism on self-framing and risky decision making. Participants were 416 undergraduates who responded to the Life Orientation Test and a self-framing test based on the Asian disease problem. The results demonstrate that, compared with people low in optimism, highly optimistic individuals tended to use more positive words to describe problems, generate more positive frames, and choose more risky options. There was also a significant self-framing effect: Participants with a negative frame tended to be risk-seeking, whereas those with a positive frame tended to avoid risks. Additionally, selfframing suppressed the effect of optimism on risky decision making. We can conclude that optimism has significant effects on self-framing and risky decision making.


Author(s):  
Shun Takai

This paper investigates a multidisciplinary framework that simulates design decisions in a complex team-based product development in which engineers simultaneously work in a team project and individual projects. The proposed framework integrates cooperative and noncooperative design models with (1) equilibrium analysis, (2) uncertainty modeling based on behavioral game-theory results, and (3) decision-making using decision analysis. In the proposed framework, noncooperative design is used to simulate engineers’ decisions about team project commitment and to analyze potential free-riding; cooperative design is used to model design outcomes when engineers collaborate in the team project; equilibrium analysis and behavioral game-theory results are used to infer about other engineers’ decisions; and decision analysis is used to calculate expected values of decision alternatives. The proposed framework and the design decision-making model are illustrated using a pressure vessel design as a team project conducted by two engineers: a design engineer and a materials engineer.


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