This paper characterizes the efficient decentralized networks for calculating the associative aggregate of cohorts of data of a fixed size that arrive periodically. Radner (1993) proposed this problem of periodic parallel associative computation as a model of the ongoing information processing...

Radner (1993) proposed a model of decentralized associative computation as a means to understand information processing in organizations. In the model, in which an organization processes a single cohort of data, resources are measured by the number of managers. This paper (i) explains why...

This paper defines and characterizes essential decentralized networks for calculating the associative aggregate of one or more cohorts of data. A network is essential if it is not possible to eliminate an instruction or manager and still calulate the aggregate of each cohort. We show that for...