Partial global flexible scheduling for coordinating resource-bounded agents

Abstract

We have presented the partial global flexible scheduling approach that proposes using distributed artificial intelligence methods combined with scheduling techniques to the control of progressive reasoning units which are distributed, self-interested, want to maximize their own performance and there is no central controller available.