A C++ Platform for the Evolution of Trade Networks
David McFadzean
Merak Project Ltd.
dbm@merak.com
Leigh Tesfatsion
Iowa State University
tesfatsi@iastate.edu
The trade network game (TNG) developed in Tesfatsion (1995) models the
interplay between evolutionary game dynamics and preferential partner
selection for a family of market structures with distributed adaptive buyers
and sellers. This paper presents a C++ platform for implementing the TNG,
supported by the abstract base classes developed in McFadzean (1995) for a
general evolutionary simulation framework, SimBioSys. The modular form of
the TNG platform facilitates experimentation with alternative specifications
for trade partner matching, trading, expectation updating, and trade
strategy evolution. Various experimental findings are presented to
illustrate the capabilities of this platform.
Society of Computational Economics
Second International Conference on
Computing in Economics and Finance
Geneva, Switzerland, 26-28 June 1996