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Bandit Models of Human Behavior: Reward Processing in Mental Disorders | | Djallel Bouneffouf
; Irina Rish
; Guillermo A. Cecchi
; | | Date: |
7 Jun 2017 | | Abstract: | Drawing an inspiration from behavioral studies of human decision making, we
propose here a general parametric framework for multi-armed bandit problem,
which extends the standard Thompson Sampling approach to incorporate reward
processing biases associated with several neurological and psychiatric
conditions, including Parkinson’s and Alzheimer’s diseases,
attention-deficit/hyperactivity disorder (ADHD), addiction, and chronic pain.
We demonstrate empirically that the proposed parametric approach can often
outperform the baseline Thompson Sampling on a variety of datasets. Moreover,
from the behavioral modeling perspective, our parametric framework can be
viewed as a first step towards a unifying computational model capturing reward
processing abnormalities across multiple mental conditions. | | Source: | arXiv, 1706.2897 | | Services: | Forum | Review | PDF | Favorites | |
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