Computational Intelligence and Neuroscience / 2013 / Article / Fig 5

Research Article

A Functional Model of Sensemaking in a Neurocognitive Architecture

Figure 5

Sample output from Task 3. Participants must generate the likelihood that a probe event (denoted by the “?”) was produced by each category and then do a forced-choice resource allocation to maximize their trial score. Likelihoods are based on the road distance from each category’s centroid and the frequency of events. For instance, Citrine has the highest likelihood because it is the closest category.

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