This paper illustrates some benefits of small-scale distributed processing in solving nearblock-diagonal systems. We review the theoretical advantages of distributed block algorithms and apply such an algorithm to solve a large nonlinear macroeconometric model. For our application, on a...

Given knowledge is distributed across the economic population, it is appropriate to consider technical change as a process of distributed learning. This leads naturally to an evolutionary perspective. Noting the work of cognitive sciences, which uses a computational model of the mind, we are...

We elucidate the dynamics of ongoing collective action among intentional agents with diverse beliefs and imperfect information. The decisions on whether or not to contribute to the collective good depend not only on the past but also on their expectations as to how their actions will affect...