A Competition of Critics in Human Decision-Making

Recent experiments and theories of human decision-making suggest positive negative errors are processed encoded differently by serotonin dopamine, with possibly serving to oppose dopamine protect against risky decisions. We introduce a temporal difference (TD) model account for these features. Our involves two critics, an optimistic learning system pessimistic system, whose predictions integrated in time control how potential decisions compete be selected. predicts that can decomposed along dimensions: the degree which individual is sensitive (1) risk (2) uncertainty. In addition, we demonstrate learn about mean standard deviation rewards, provide information reaction despite not modeling variables directly. Lastly, simulate recent experiment show updates systems could relate transients, thereby providing mathematical formalism serotonin’s hypothesized role as opponent dopamine. This new should useful future on decision-making.