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Introduction to Focus Issue: Intrinsic and Designed Computation: Information Processing in Dynamical Systems—Beyond the Digital Hegemony
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29.M. Adams, A. Hurtado, D. Labukhin, and I. Henning, “Nonlinear semiconductor lasers and amplifiers for all-optical information processing,” Chaos 20, 037102 (2010).
30.C. S. Calude, E. Calude, and K. Svozil, “The complexity of proving chaoticity and the Church-Turing thesis,” Chaos 20, 037103 (2010).
31.F. Chatelin, “Numerical information processing under the global rule expressed by the Euler-Riemann function defined in the complex plane,” Chaos 20, 037104 (2010).
32.J. Crutchfield, C. Ellison, R. James, and J. Mahoney, “Synchronization and control in intrinsic and designed computation: An information-theoretic analysis of competing models of stochastic computation,” Chaos 20, 037105 (2010).
33.R. Dar, D. Karig, J. Cooke, C. Cox, and M. Simpson, “Distribution and regulation of stochasticity and plasticity in Saccharomyces Cerevisiae,” Chaos 20, 037106 (2010).
34.W. Ditto, A. Miliotis, K. Murali, S. Sinha, and M. Spano, “Chaogates: Morphing logic gates designed to exploit dynamical patterns,” Chaos 20, 037107 (2010).
35.R. Harmer, V. Danos, J. Feret, J. Krivine, and W. Fontana, ‘‘Intrinsic information carriers in combinatorial dynamical systems,’’ Chaos 20, 037108 (2010).
36.J. Lizier, M. Prokopenko, and A. Zomaya, ‘‘Information modification and particle collisions in distributed computation,’’ Chaos 20, 037109 (2010).
37.J. Propp, “Discrete analog computing with rotor-routers,” Chaos 20, 037110 (2010).
38.S. Still, J. Crutchfield, and C. Ellison, “Optimal causal inference: Estimating stored information and approximating causal architecture,” Chaos 20, 037111 (2010).
39.H. Siegelmann and L. Holzman, “Computing adaptive Bayesian inference from multiple sources,” Chaos 20, 037112 (2010).
40.H. Teramoto and T. Komatsuzaki, “How does a choice of Markov partition affect the resultant symbolic dynamics?,” Chaos 20, 037113 (2010).
41.K. Wiesner, “Nature computes: Information processing in quantum dynamical systems,” Chaos 20, 037114 (2010).
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How dynamical systems store and process information is a fundamental question that touches a remarkably wide set of contemporary issues: from the breakdown of Moore’s scaling laws—that predicted the inexorable improvement in digital circuitry—to basic philosophical problems of pattern in the natural world. It is a question that also returns one to the earliest days of the foundations of dynamical systems theory, probability theory, mathematical logic, communication theory, and theoreticalcomputer science. We introduce the broad and rather eclectic set of articles in this Focus Issue that highlights a range of current challenges in computing and dynamical systems.
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