Distributed artificial intelligence is the study of how a group of individual intelligent
agents can combine to solve a difficult global problem; the usual approach is to split
the original problem into simpler ones and to attack each of these independently. This
paper discusses in very general terms the problems which arise if the subproblems are not
independent, but instead interrelate in some way. We are led to a single assumption, which
we call common rationality, that is provably optimal (in a formal sense) and which enables
us to characterize precisely the communication needs
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