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Let us devise a nonlocal system, one where the distances between two extreme points may be nontrivial. For Faraday’s law of conservation of charge to hold true in this system, if a charge at point A disappears, an identical charge must appear at another point B. Feynman [15] argued that we cannot know precisely whether a charge appears at B at the very instant it disappears from A. Simultaneity of events at two spatial points, according to relativistic physics, is subjective. Therefore, we are compelled to modify the law of conservation of charge to be applicable, only locally.

As noted earlier, the literature on synthesizing distributed decision-making algorithms and evaluating the quality of distributed decision making is sparse. Asynchronous, distributed systems feature dispersed processes and data, where the processes operate concurrently and thus ADDM algorithms are both distributed and parallel. Rotithor [51] proposes to distribute the overall tasks—system state estimation and decision making—of a distributed decision-making system among independent decision-making processing elements and attempt to improve the overall performance of the system by optimizing the performance of the individual decision makers.

300 A Screen Shot of the Post-mortem Replay Interface . . . . . . 302 Number of Enemy Units Destroyed under the Centralized and Decentralized Paradigms, as a Function of τc . . . . . . . . . 304 Sensor Decision Vector Graph for an Entity under the Centralized and Distributed Paradigms and PGOD, as a Function of Time, for (a) τc = 1 Timestep, (b) τc = 5 Timesteps, and (c) τc = 9 Timesteps . . . . . . . . . . . . .

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