Uncertainty, protocol behavior prediction through chaos theory?

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.