A Functional Model of Sensemaking in a Neurocognitive Architecture
Sample output from Task 6. Participants must generate the likelihood that a probe event (denoted by the probe event “1”) was produced by each category. The HUMINT layer is always displayed first, and the initial probability distribution based on road distance is provided to participants. Participants must update this initial distribution as new features are revealed. In the current example, the likelihoods of categories A and C are increased due to the MOVINT layer revealing sparse traffic at the probe event location.
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