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Crossmodal estimation of decisions, guesses and delays in decision making: a collaboration between psychology, physiology and artificial intelligence

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Crossmodal estimation of decisions, guesses and delays in decision making: a collaboration between psychology, physiology and artificial intelligence Our daily lives are full of decisions for which we could take an infinite time in order to decide as accurately as possible. However, different speed and accuracy constraints, tied to the type of decisions, the decision-maker and his environment, are limiting the time allocated. How decision-makers deal with this speed-accuracy tradeoff is an important cornerstone for the sciences studying decision making such as psychology, cognitive neuroscience and artificial intelligence. One particularly successful proposal of formal decision-making models is to assume that decision-makers are reducing or increasing decision thresholds to adapt to the speed and accuracy constraints. But recent evidence shows that this strategy is insufficient to explain the full range of behavioral and physiological data in decision tasks. The present proposal suggests, based on new studies,

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recordType

award

status

TERMINATED

region

EU

value

203464.32

unit

EUR