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One can thus imagine an agent acting as a centralized coordinator that takes the resulting plan and breaks it into separate 30 Distributed Intelligent Systems threads. Using task-passing techniques, the resulting separate pieces of the plan are then passed to other agents and executed locally. Based on the assumption that the world is predictable and the knowledge is correct, the agents operating in parallel will, in the end, achieve “a state of the world consistent with the goals of the plan”.

In these methods, the emphasized necessity to converge to a global optimum has indeed an impact on performance, and correspondingly on scalability Finally, Rana and Stout point to another set of approaches that provide the ability to manage scalability. As noted, these approaches are related to modeling agent systems to predict performance. Based on the concept of a messenger paradigm, various approaches are mainly aimed at mobile agents. It is explained that messenger systems view agents as systems which involve mobile threads of execution without a central control.

He adds that constraint satisfaction heuristics such as variable and value ordering can be beneficially employed in a distributed environment. 4 Organizational structuring In distributed problem solving, a shared repository cannot be systematically supported. In this case, exploiting the structure of task decomposition can be a suitable alternative strategy for reducing communication. In an attempt to explain this strategy, Durfee puts forward an example of a distributed design problem [1,8]. In this respect, he argues that it is naturally reasonable that designers working on components that must “connect” communicate more frequently with each other rather than with designers working on more remote parts.

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Anomalous Osmose (1920)(en)(5s) by Bartell F.E.

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