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Comment on 'Optimal Policy for Multi-Alternative Decisions'
[article]
2019
bioRxiv
pre-print
Optimality analysis has recently been proposed for value-based decision-making, in which decision agents are rewarded by the value of the selected option. This contrasts with psychophysics where decision agents are typically rewarded only if they choose the 'correct' or best option. The analysis of optimal policies for value-based decisions raises interesting and surprising parallels with decision rules proposed for accuracy-based decisions in binary and multi-alternative cases, and explains
doi:10.1101/2019.12.18.880872
fatcat:rtetpqhgqre45o3ebvojjs4r5q