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We introduce a computer program which calculates an agent's optimal behavior according to Case-based Decision Theory (Gilboa and Schmeidler 1995) and use it to test CBDT against a benchmark set of problems from the psychological literature on human classification learning (Shepard, Hovland, and Jenkins 1961). This allows us to evaluate the efficacy of CBDT(More)
a r t i c l e i n f o We construct a spatially explicit groundwater model that has multiple cells and finite hydraulic conductivity to estimate the gains from groundwater management and the factors driving those gains. We calibrate an 246-cell model to the parameters and geography of Kern County, California, and find that the welfare gain from management(More)
The nature of concept learning is a core question in cognitive science. Theories must account for the relative difficulty of acquiring different concepts by supervised learners. For a canonical set of six category types, two distinct orderings of classification difficulty have been found. One ordering, which we call paradigm-specific, occurs when adult(More)
In this paper we show Case-based Decision Theory (Gilboa and Schmeidler, 1995) can explain the aggregate dynamics of cooperation in the repeated Prisoner's Dilemma, as observed in the experiments performed by Camera and Casari (2009). Moreover, we find CBDT provides a better fit to the dynamics of cooperation than does the existing Probit model, which is(More)
Agents with the same information and same preferences can make different choices. Agents differ not only with respect to their preferences and information, but their causal interpretations of that information. This can lead to what agents with the correct causal model would perceive as " irrational mistakes " committed by others. I apply an axiomatic(More)
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