This paper presents a general C++ platform for the implementation of a trade network game (TNG) that combines evolutionary game play with preferential partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of...

An evolutionary trade network game (TNG) is proposed for studying the interplay between evolutionary game dynamics and preferential partner selection in various market contexts with distributed adaptive agents. The modular form of the TNG facilitates experimentation with alternative...

How large are potential benefits from global risksharing? In order to answer this question we propose a new methodology that is closely connected with the empirical growth literature. We obtain estimates of residual risk (growth uncertainty) at various horizons from regressions of...

This paper presents a summary overview of the fast-developing field of "artificial life," stressing aspects that seem especially relevant for the study of decentralized market economies. In particular, recent artificial life work combining evolutionary game theory with preferential partner...

This paper develops a Trade Network Game (TNG) that combines evolutionary game play with endogenous partner selection. Resource- constrained buyers and sellers choose and refuse trade partners on the basis of continually updated expected payoffs. Partner selection takes place in accordance with...