Artificial life (alife) is the bottom-up study of basic phenomena commonly associated with living agents, such as self- replication, evolution, adaptation, self-organization, exploitation, competition, cooperation, and social network formation. Alife complements the traditional biological and...

This statement outlines the objectives and policies of the new journal, Macroeconomic Dynamics, which is dedicated to the advancement of macroeconomics as a science. This Editorial is to appear at the front of the first issue of that journal and is copyright by Cambridge University Press.

This study investigates the performance of Gale-Shapley matching in an evolutionary market context. Computational experimental findings are reported for an evolutionary match-and-play trade network game in which resource-constrained traders repeatedly choose and refuse trade partners in...

This paper aims at presenting the methodological approach to simulations, proposed at the beginning of the sixties by a group of scholars of the Carnegie Mellon University. This approach can be defined cognitive and behavioural, because of the attention to real perception and decision-making and...

In recent years, understanding the structure and function of complex networks has become the foundation for explaining many different real- world complex social, information, biological and technological phenomena. Techniques from statistical physics have been successfully applied to the...

We design a novel sequential public goods experiment to study reciprocity, or conditional cooperation. In contrast to the standard simultaneous contribution game, our sequential design provides direct evidence on how subjects condition their own contributions on the contributions of other...

We run a public goods experiment with four different treatments. The payoff function is chosen such that the Nash equilibrium (NE) and the collective optimum (CO) are both in the interior of the strategy space. We test the effect of varying the level of the collective optimum on contributions....

In economics, adjustment of behavior has traditionally been treated as a "black box." Recent approaches that focus on learning behavior try to model, test, and simulate specific adjustment mechanisms in specific environments (mostly in games). Results often critically depend on distinctive...