“…Perhaps as a response to the success Shannon Entropy has enjoyed, several recent papers have noted that Shannon Entropy may be a poor measure of the cost of acquiring information in some environments (Caplin, Dean, & Leahy, 2017;Morris & Yang, 2016) because it lacks what is called "perceptual distance" (Caplin et al, 2017, p. 39). As was alluded to previously, these papers argue that (i) more similar outcomes (outcomes that have less perceptual distance between them) should be more difficult to differentiate between, and (ii) when this property is missing, predicted behavior can differ signficantly from the type of behavior that it would seem natural to expect (Morris & Yang, 2016).…”