DocumentCode
2874610
Title
Rationality Model and Choice Optimization: One Answer to Aumann\´s "Open Problem" and One Introduction to a New Mathematical Tool
Author
Wu, Ai
Author_Institution
Sch. of Manage., Dalian Univ. of Technol., Dalian, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The dynamical process of choice optimization is the realistic starting point of constructing dynamical economics or evolutionary economics. Rationality model is the logical basis for choice optimization. But in fact, as the common theoretical base in modern economics, rationality modeling is a complex problem unsolved. In this paper, a model of natural rationality (R) is introduced, and R is defined as nonlinear function of agent\´s output benefits (OBS) and input costs (ICS). This mathematical model of natural rationality can be considered as one answer to Aumann\´s "open problem". On the basis of the rationality model, mathematical model of natural rationality is compared with model of bounded (or incomplete) rationality and unbounded (or complete) rationality, and their relations are analyzed according to the completeness degree of information. At last, the dynamic optimization process of rational choice on the basis of mathematical model of natural rationality is introduced.
Keywords
cost-benefit analysis; dynamic programming; economics; Aumann´s open problem; choice optimization; dynamic optimization process; dynamical economics; evolutionary economics; input costs; mathematical tool; natural rationality; output benefits; rationality model; Biological system modeling; Cost function; Decision making; Game theory; Information analysis; Mathematical model; Mathematics; Medals; Resource management; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5366874
Filename
5366874
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