Pietro Terna

Learn More
In this paper we discuss strategies concerning the implementation of an agent-based simulation of complex phenomena. The model we consider accounts for population decomposition and interaction in industrial districts. The approach we follow is twofold: on one hand, we implement progressively more complex models using different approaches (vertical multiple(More)
This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price sequences in a simple model of interacting consumers and vendors, both equipped with minimal rules. " Swarm " is the framework of the model (www.santafe.edu/projects/swarm), a(More)
In computer simulation models based upon agents, what is the degree of sophistication that we have to put into the agents? Should we provide them or not with a " mind " ? The answer ranges from Axelrod's simplicity principle to the use of full BDI (Beliefs, Intentions, Desires) cognitive agents. To discuss the subject we introduce here three models: one(More)