Application of a neural network model of prefrontal cortex to emulate human probability matching behavior

Probability matching behavior occurs in a variety of decision-making domains that can be mapped to the n-arm bandit problem. Prefrontal cortex has been implicated in executive control over several tasks including the n-arm bandit problem. Previously the Prefrontal cortex Basal Ganglia Working Memory...

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Bibliographic Details
Published in:Biologically inspired cognitive architectures 2014-10, Vol.10, p.10-16
Main Authors: Chelian, Suhas E., Uhlenbrock, Ryan M., Herd, Seth, Bhattacharyya, Rajan
Format: Article
Language:English
Subjects:
n-arm bandit
Prefrontal cortex
Probability matching
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Summary:Probability matching behavior occurs in a variety of decision-making domains that can be mapped to the n-arm bandit problem. Prefrontal cortex has been implicated in executive control over several tasks including the n-arm bandit problem. Previously the Prefrontal cortex Basal Ganglia Working Memory (PBWM) model has been used to replicate other decision-making functions of prefrontal cortex such as recognizing sequences of symbols or visual scenes. In this work, we emulate probability matching behavior from human subjects using the PBWM model in n-arm bandit-like problems. Possible extensions to the current work such as including other biases like loss aversion and misperception of both large gains and losses are also discussed.
ISSN:2212-683X
2212-6848
DOI:10.1016/j.bica.2014.11.002