online learning algorithm based on regret minimization enabling the agents to forecast the production of renewable energies …

combinations using external and internal regret minimization, show that the convergence of the collaborative learning strategy is …

decision behaviour. The data give credibility to the incorporation of regret in decision-theory that had been proposed by … decision-making are connected in terms of regret being modulated by rational antecedents of choice. Regret and the modification … prospective lines of research in order to refine our views on how regret contributes to optimal decision-making. …

relies on unverifiable fair value estimates (e.g., goodwill). From a simple game theory model, we demonstrate that a Big-4 …

system is a flexible system that requires few hypotheses, has no roots in consumer theory but may be used to test it. We use …

We review recent advances in the field of decision making under uncertainty or ambiguity. …

agent is inclined to make a particular decision, but due to a possible influence of the others, his final decision may be …

de prise de décision : analogique, déductif et inductif. Ces processus soulignent la complexité des relations entre les …