Abstract
We study a simple model of diffusion of innovations in a network of
agents that are characterized by their technological level. Agents
can follow Nash or Pareto strategies when they decide whether to
upgrade their level or not. We study the behavior of the average
payoff per agent and the mean velocity of progress as function of
the upgrading cost. We find that the strategy that maximizes the
velocity of progress depends on the value of the upgrading cost,
independently of the relative number of agents that use one or the
other strategy.
Users
Please
log in to take part in the discussion (add own reviews or comments).