Using a within-subject design, we look at how people learn, generalize, and search for rewards structured by either spatial or conceptual features (tilt and stripe freq. of a gabor patch) 2/4pic.twitter.com/F76SGVRZ1y
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Using a within-subject design, we look at how people learn, generalize, and search for rewards structured by either spatial or conceptual features (tilt and stripe freq. of a gabor patch) 2/4pic.twitter.com/F76SGVRZ1y
Participants displayed equivalent generalization in both domains, and were sensitive to expected rewards and uncertainty. Yet they leveraged this knowledge differently, relying less on uncertainty-directed and more on random exploration in the conceptual domain 3/4
Even though the computational principles underpinning learning and generalization are similar in both domains, how these computations are mapped onto actions can vary substantially. There's still much to learn about how #cognitiveMaps are used! 4/4
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