This project develops and experimentally and econometrically tests a theory of human behavior and learning in games. Under their previous NSF grant the investigators found evidence that human players can be characterized as having one of five models of other players. The proposed research will explore the robustness of these findings, and compare the current theory with alternatives. The investigators also found evidence for `rule learning` in a guessing game, and propose exploring the applicability of such a model to typical normal-form games. Consequently, this project contributes to a descriptive and prescriptive theory of games.

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Type
Standard Grant (Standard)
Application #
9631389
Program Officer
Daniel H. Newlon
Project Start
Project End
Budget Start
1996-10-01
Budget End
1998-09-30
Support Year
Fiscal Year
1996
Total Cost
$25,392
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78712