Reinforcement learning has proved quite successful in predicting subjects' adjustment behaviour in repeatedly played … simple games. However, reinforcement learning does not predict convergence to the efficient cell in the minimal information … learning rule, a modification of win-stay lose-change, does predict convergence. We perform an experiment using modern economic …

information. This way we are able to investigate (i) the coordination abilities of the subjects depending on the underlying game …, (ii) the resulting efficiency loss, and (iii) the adjustment of the learning rule. …

This paper aims at analysing the effects of learning on the individual behaviour in an experiment that requires … cooperation and coordination within teams. Using artificial agents, different social contests are created, as training … apply them also in other situations) and propose new hypothesis. Learning is not only based on a mechanical repetition of …

competencias o características regionales, y las interacciones que a modo de Redes de Innovación (Innovation Networks) se producen …

market and policy barriers to carbon low technological alternatives. We address the coordination role for authorities rather … stakeholder learning that creates commitment to desired action for escaping lock-in. …

standpoint of knowledge asymmetry the question of a central government in a federation becomes primarily a story of coordination …