learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the …

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 …

learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the …

effect. Overall we find that social learning, whether or not the behavior of others is truly informative, plays a large role …

ability. We study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account …-game learning for cognitively less able participants but does not affect overbidding for the cognitively more able. Vice versa …, 'cross-game learning' may rather be understood as 'cross-game transfer', as it has the potential to benefit bidders with …

study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account cognitive skills … losses from high bids are more salient than in SPAs. Experience in FPAs causes substantial cross-game learning for … bid shading by cognitively more able participants, resulting in lower profits in FPAs. Thus, cross-game learning has the …