In contrast to the usual approach taken in the literature, in which an Industry Life Cycle (ILC) is reproduced by aggregate functions, the model of this paper generates a self-organizing ILC. A general evolutionary agent-based simulation model is developed that can be adapted for specific...

The tremendous development of an easy access to computational power within the last 30 years has led to the widespread use of numerical approaches in almost all scientific disciplines. The first generation of simulation models was rather focused on stylized empirical phenomena. With agent-based...

This paper incorporates aspects of humans' evolved cognition into a formal model of cultural evolution and scrutinizes their interactions with population-level processes. It is shown how the biased transmission of different kinds of behavior via cultural learning processes influences agents'...

Replicator dynamic modelling (rdm) is used to discuss industrial evolution problems with heterogeneous agents. However, some of the models tend to be very complex and, therefore, analytical solutions cannot be obtained. Hence, the paper proposes to start with a relatively simple model and check...

An evolutionary perspective on economic behavior has to account for the influences that the human genetic endowment has on the choices the agents make. Likely to have been fixed in times of fierce selection pressure, this endowment is presumably adapted to the living conditions of early humans....

This discussion paper has resulted in a chapter in: (R.U. Ayres, D. Simpson, and M. Toman (eds.)), Scarcity and Growth in the Millennium, 2005, Resources for the Future, Washington DC, 177-97.

The paper discusses some fundamental features of the 'Simonian' research program in microeconomics and compare them with two streams of thought which find their roots into Simon's pathbreaking work since the '50s and '60s, namely Transaction Cost Economics and Evolutionary Economics. One argues...