A Predictive Reinforcement Learning Framework for Modeling Human Decision Making Behavior
عنوان مقاله: A Predictive Reinforcement Learning Framework for Modeling Human Decision Making Behavior
شناسه ملی مقاله: CSICC14_102
منتشر شده در چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران در سال 1388
شناسه ملی مقاله: CSICC14_102
منتشر شده در چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران در سال 1388
مشخصات نویسندگان مقاله:
Rezvan Kianifar - Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran
Farzad Towhidkhah - Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran
خلاصه مقاله:
Rezvan Kianifar - Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran
Farzad Towhidkhah - Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran
Human can determine optimal behaviors which depend on the ability to make planned and adaptive decisions. In this paper, we have proposed a predictive structure based on neuropsychological evidences to model human decision making process by concentrating on the role of frontal brain regions which are responsible for predictive control of human behavior. We have considered a model-based
reinforcement learning framework to implement the relations between these brain areas. Finally, we have designed an experimental test to compare the function of model with human behavior in a maze task. Our results reveal that there is more than reward and punishment in human behavior, and considering higher cognitive functions such as prediction will help to have more reliable models which could better describe human behavior.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/73067/