Data Acquisition Dynamics and Hypothesis Generation


When formulating explanations for the events we witness in the world temporal dynamics govern the hypotheses we generate. In our view, temporal dynamics influence beliefs over three stages: data acquisition, hypothesis generation, and hypothesis maintenance and updating. This paper presents experimental and computational evidence for the influence of temporal dynamics on hypothesis generation through dynamic working memory processes during data acquisition. Results suggest that data acquired from the environment undergo dynamic competition in working memory, the results of which dictate the weights allocated to individual data in the generation process.

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