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This chapter focuses on how response times can be used to test prototypical inference strategies suggested by the strategy approach. It proposes a synthesis between the systems factorial technology with the traditional decision-making analysis. In contrast, approaches in cognitive psychology, behavioral economics, and decision neuroscience of studying judgment and decision making have led to advances towards unpacking the black box. The best model of underlying cognitive processes is inferred from likelihoods of the observed input-output relationship across the candidate models, or within the Bayesian approaches, the posterior probability of a decision-making model given the input-output patterns. Several approaches have been created to answer the questions about the organization of cognitive processes in decision making. The chapter argues that response times are a valuable resource for testing process models of judgment and decision making. Cognitive models of decision making imply different types of information processing that can lead to a decision.
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