A Predictive Reinforcement Learning Framework for Modeling Human Decision Making Behavior
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,430
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شناسه ملی سند علمی:
CSICC14_102
تاریخ نمایه سازی: 24 خرداد 1388
چکیده مقاله:
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.
نویسندگان
Rezvan Kianifar
Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran
Farzad Towhidkhah
Department of Biomedical Engineering Amirkabir University of Technology Tehran, Iran