We test empirically the strategic counterpart of the Adaptive Decision Maker hypothesis (Payne et al., 1993), which states that decision makers adapt their attention and decision rules to time pressure in predictable ways. For twenty-nine normal form games, we test whether players adapt to...

The emergence of heuristics, sophisticated behavior—such as higher levels of Theory of Mind—and substantive rationality in strategic situations can be studied using evolutionary game theory to jointly account for the interactions between players and their environments. Research thus far has...

This paper models the learning process of a population of randomly-rematched tabula rasa neural network agents playing randomly generated 3 × 3 normal form games of all strategic types. Evidence was found of the endogenous emergence of a similarity measure of games based on the number and types...

The investigation of response time and behavior has a long tradition in cognitive psychology, particularly for non-strategic decision-making. Recently, experimental economists have also studied response time in strategic interactions, but within an emphasis on either one-shot games or repeated...

This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium. The NNs were found to predict the Nash equilibrium approximately 70%...

This paper models the learning process of populations of randomly rematched tabula rasa neural network (NN) agents playing randomly generated 2x2 normal form games of all strategic classes. This approach has greater external validity than the existing models in the literature, each of which is...