Title :
Chaos and its computing paradigm
Author_Institution :
Dept. of Comput. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Abstract :
Recently, there has been interest in so-called alternative computing paradigms that differ from traditional silicon-based computing architectures. One such alternative is chaos computing which exploits the inherent dynamics of chaotic systems. Chaos has three defining characteristics: (i) sensitivity to initial conditions, (ii) aperiodic long-term behavior, (iii) wholly deterministic. Since research in chaos computing is only in its infancy it is as yet not appropriate to debate the optimality of computing using chaos. However, unlike other alternative computing paradigms such as DNA computing and quantum computing, chaos computing presents a framework which one day might be appropriate for a general purpose machine.
Keywords :
chaos; logic gates; aperiodic long-term behavior; chaos computing paradigm; chaotic system dynamics; silicon-based computing architectures; Bifurcation; Brain modeling; Chaos; Computational modeling; Electroencephalography; Logistics; Nonlinear dynamical systems; Physics; Rhythm; Stochastic systems;
Journal_Title :
Potentials, IEEE
DOI :
10.1109/MP.2005.1462459