The Reward-Complexity Trade-off in Schizophrenia

نویسندگان

چکیده

Action selection requires a policy that maps states of the world to distribution over actions. The amount memory needed specify (the complexity) increases with state-dependence policy. If there is capacity limit for complexity, then will also be trade-off between reward and since some need sacrificed in order satisfy constraint. This paper empirically characterizes complexity both schizophrenia patients healthy controls. Schizophrenia adopt lower policies on average, these are more strongly biased away from optimal reward-complexity curve compared However, controls curve, groups appear lie same empirical curve. We explain findings using cost-sensitive actor-critic model. Our theoretical results shed new light cognitive effort abnormalities schizophrenia.

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ژورنال

عنوان ژورنال: Computational psychiatry

سال: 2021

ISSN: ['2379-6227']

DOI: https://doi.org/10.5334/cpsy.71