Pietro Terna

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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)
There are three different “symbol systems” available to social scientists: the familiar verbal argumentation and mathematics, but also a third way, computer simulation. Computer simulation, or computational modeling, involves representing a model as a computer program. The key question is: What tools can we use in building our models, if we follow the(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)
With SUM, a Surprising (Un)realistic Market, we are dealing with the microfoundations of a stock market. We avoid any artificially simplified solution about price formation, such as to employ an auctioneer to clear the market; on the contrary, our model produces time series of prices continuously evolving, transaction by transaction. The core of the model(More)
This paper considers a model of industrial districts where different populations interact symbiotically. The approach consists in the parallel implementation of the model with jESOF, JAS and plain C++. We consider a district decomposition where two populations, workers and firms, cooperate while behaving independently. We can find interesting effects both(More)