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This paper develops a language-measure-theoretic distributed algorithm for decision propagation in a mobile agent network topology. The agent interaction policy proposed here enables the control of the tradeoff between Propagation Radius and Localization Gradient. Analytical results regarding statistical moment convergence are presented and validated with simulation experiments.
This paper develops a distributed algorithm of decision/awareness propagation in mobile agent systems with a time varying network topology and threshold based agent interaction policy. While message broadcast duration or state updating interval is found to be an actuation parameter for changing time-averaged network topology, the threshold parameter in binary decision policy can be used to trigger...
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