The paper uses a two-stage, multi-agent simulation model to examine the conditions under which technological successions can occur in the presence of network externalities. Data is used to identify a robust econometric model of the probability of succession. Four key factors are identified....

We formulate a simple multiagent evolutionary scheme as a model of collective learning, i.e., a situation in which firms experiment, interact, and learn from each other. This scheme is then applied to a stylized endogenous growth economy in which firms have to determine how much to invest in...

We generalize a single-country model of endogenous growth to the case of a multi-country world economy in which technology transfer and behavioral imitation are the possible means of interaction between countries. The model is evolutionary in the sense that the economies are disaggregated by...

This paper will present a multi-region/multi-country model in which inter-regional knowledge spillovers determine the growth of regions. Key parameters in the model are the learning capability of a region and the rate of knowledge generation (R&D). The intensity of spillovers depends on...