In this paper, we consider situations where agents face repeatedly the same decision problem. We focus on adaptive rules without beliefs. We distinguish between two kinds of models. Firstly, we study adaptive rules that are only based on private information. Decisions are made on the basis of...

A new model of strategic networking is developed and analyzed, where an agent's investment in links is nonspecific. The model comprises a large class of games which are both potential and super- or submodular games. We obtain comparative statics results for Nash equilibria with respect to...

We study strategic games where players' preferences are weak orders which need not admit utility representations. First of all, we ex- tend Voorneveld's concept of best-response potential from cardinal to ordi- nal games and derive the analogue of his characterization result: An ordi- nal game...

We study a local interaction model where agents play a finite n-person game following a perturbed best-response process with inertia. We consider the concept of minimal p-best response set to analyze distributions of actions in the long run. We distinguish between two assumptions made by agents...

A product set of strategies is a p-best response set if for each agent it contains all best responses to any distribution placing at least probability p on his opponents' profiles belonging to the product set. A p-best response set is minimal if it does not properly contain another p-best...

Fudenberg et Kreps (1993), Young (1993), et Sela et Herreiner (1999) ont souligné l'insuffisance du critère de convergence en croyances du processus de Fictitious Play dans un cadre d'apprentissage des équilibres de Nash. En conséquence, nous choisissons d'étudier la convergence en...

A new model of strategic networking is developed and analyzed, where an agent’s investment in links is nonspecific. The model comprises a large class of games which are both potential and super- or submodular games. We obtain comparative statics results for Nash equilibria with respect to...