Sequential Sampling Models Representing a Unifying Framework of Human Decision Making


Sequential sampling models have been applied for describing the cognitive processes underlying various psychological processes such as memory, perception, or value-based decision making. They share the common assuming that people accumulate information stochastically over time and once the accumulated information passes a decision boundary a response is made. Depending on the cognitive domain the models differ in the specific nature of the accumulation process. In particular, they differ in their assumption about what type of information is processed, how the information is represented, and how the boundary is defined.

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