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A major concern in dealing with multi-agent complex adaptive systems is the understanding of how such systems build order in the midst of an otherwise chaotic universe. The ordering principles of such systems that are found at the biological level can be applied to better understanding human organizations, and can also be used to develop or modify highly complex intelligent agent software systems for greater efficacy. This paper describes the theoretical mechanism of how huge multi-agent complex adaptive systems overcome the exponential increases in entropy that would otherwise cause system collapse, through the use of agents that function to maintain the multidimensional architecture of the system concept as defined by the source code of the system. This paper also explores some of the implications and applications that follow from the understanding of generalist function.


Copyright 2009, F. Matthew Mihelic.