Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).

Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).

In models of non-deterministic contest, players exert irreversible effort in order to increase their probability of winning a prize. The most prominent functional form of the win probability in the literature is the so-called "logitʺ contest success function. We provide a simple...

We consider a policy game between a high-income country hosting a drug innovator and a low-income country hosting a drug imitator. The low-income country chooses whether to enforce an International Patent Regime (strict IPR) or not (weak IPR) and the high-income country chooses whether to allow...

We consider a policy game between a high-income country hosting a drug innovator and a low-income country hosting a drug imitator. The low-income country chooses whether to enforce an International Patent Regime (strict IPR) or not (weak IPR) and the high-income country chooses whether to allow...