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Uncertainty, protocol behavior prediction through chaos theory?

机译:不确定性,通过混乱理论预测协议行为预测?

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Heuristic techniques like artificial intelligence, neural networks are applied successfully in the computational field to achieve natural reasoning similar to humans. Among those uncertainty is a prominent factor which is been unsolved. This is a major challenging area in the distributed systems like communications protocol. Moreover practical future prediction is limited to a finite level because the computation requires more system memory. Sometimes it is out of the scope to a normal computer system. Fortunately, nature theory like chaos has a way to overcome this by stating that it is possible to predict the system behavior at an infinite state if a system is deter-ministically modeled. Hence as a multidisciplinary work in this paper we try to identify and extract the similarities between the communications protocol and chaos theory. We also present this promising work to use various nature theories to solve the impenetrable problems in the computational field.
机译:人工智能等启发式技术,神经网络在计算领域应用,以实现与人类类似的自然推理。这些不确定性是一个未解决的突出因素。这是分布式系统中的主要具有挑战性的区域,如通信协议。此外,实际的未来预测仅限于有限水平,因为计算需要更多的系统存储器。有时它超出了正常计算机系统的范围。幸运的是,像混乱这样的自然理论是通过说明如果系统阻止部门建模,可以通过说明在无限状态下预测系统行为来克服这一点。因此,作为本文的多学科工作,我们尝试识别和提取通信协议和混沌理论之间的相似性。我们还提供了这项有希望的工作来利用各种自然理论来解决计算领域的难以置信的问题。

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