مشاهده مشخصات مقاله
A Predictive Reinforcement Learning Framework for Modeling Human Decision Making Behavior
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نویسنده (ها) |
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Rezvan Kianifar
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Farzad Towhidkhah
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
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. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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