Documents in the NTIS Technical Reports collection are the results of federally funded research. They are directly submitted to or collected by NTIS from Federal agencies for permanent accessibility to industry, academia and the public.  Before purchasing from NTIS, you may want to check for free access from (1) the issuing organization's website; (2) the U.S. Government Printing Office's Federal Digital System website; (3) the federal government Internet portal; or (4) a web search conducted using a commercial search engine such as
Accession Number ADA575140
Title Behaviorally Modeling Games of Strategy Using Descriptive Q-learning.
Publication Date 2013
Media Count 10p
Personal Author A. Goodie D. Hall M. Meisel P. Doshi R. Ceren
Abstract Modeling human decision making in strategic problem domains is challenging with normative game theoretic approaches. Behavioral aspects of this type of decision making, such as forgetfulness or misattribution of reward, require additional parameters to capture their effect on decisions. We propose a descriptive model utilizing aspects of behavioral game theory, machine learning, and prospect theory that replicates the behavior of humans in uncertain strategic environments. We test the predictive capabilities of this model over data from 43 participants guiding a simulated Uninhabited Aerial Vehicle (UAV) against an unknown automated opponent.
Keywords Behavior
Decision making
Game theory
Prospect theories
Strategic environments

Source Agency Non Paid ADAS
NTIS Subject Category 92B - Psychology
57T - Psychiatry
72E - Operations Research
Corporate Author Georgia Univ. Research Foundation, Inc., Athens.
Document Type Technical report
Title Note Technical rept.
NTIS Issue Number 1319
Contract Number W911NF-09-1-0464

Science and Technology Highlights

See a sampling of the latest scientific, technical and engineering information from NTIS in the NTIS Technical Reports Newsletter

Acrobat Reader Mobile    Acrobat Reader