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Uncertainty, protocol behavior prediction through chaos theory?

机译:不确定性,通过混沌理论预测协议行为?

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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:诸如人工智能,神经网络等启发式技术已成功应用于计算领域,以实现类似于人类的自然推理。在这些不确定性中,有一个尚未解决的突出因素。这是诸如通信协议之类的分布式系统中的主要挑战领域。而且,由于计算需要更多的系统存储器,因此实际的未来预测被限制在有限的水平上。有时,它超出了普通计算机系统的范围。幸运的是,像混沌这样的自然理论有一种方法可以克服这一点,方法是说,如果对系统进行确定性的建模,则可以在无限状态下预测系统行为。因此,作为本文的多学科工作,我们尝试确定并提取通信协议与混沌理论之间的相似性。我们还提出了这项有前途的工作,以使用各种自然理论来解决计算领域中难以克服的问题。

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