theories and associated treatments for the demented and depressed. SKAT does so by enabling a decision model of mental health …

theories and associated treatments for the demented and depressed. SKAT does so by enabling a decision model of mental health …

payoff-based learning models are simulated in order to understand individual learning behavior in distributed systems. Under … the serial mechanism the payoff-assessment learning model (Sarin and Vahid (1997)) provides the best fit to the data …, followed by the experience-weighted attraction learning model (Camerer and Ho (1999)), which in turn, is followed by a simple …

decision behavior (like learning and expectation formation), reasoning, and the connection between bounded rationality and …

learning procedures. We consider the Stochastic Gradient-Algorithm as a boundedly rational learning procedure in an univariate … influence of the forecast feedback is limited the learning agents cannot destabilize the model and learn to form rational …

Adaptive learning and punishment are highly prominent competing explanations for ultimatum game behavior. We report on … an experiment that considers each theory in stand-alone form, so that one does not rely on the other in any substantial … way. Our data exhibits patterns for which punishment can account but learning by itself cannot. Initial play varies …

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

Recently there has been much theoretical and experimental work on learning in games. However, learning usually means … "learning about the strategic behavior of opponents" rather than "learning about the game" as such. In contrast, here we report … on an experiment designed to test whether players learn a) the relevant features of the payoff structure of a 2x2 game (e …