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      Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating

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          Abstract

          Although natural and bioinspired computing has developed significantly, the relationship between the computational universality and efficiency beyond the Turing machine has not been studied in detail. Here, we investigate how asynchronous updating can contribute to the universal and efficient computation in cellular automata (CA). First, we define the computational universality and efficiency in CA and show that there is a trade-off relation between the universality and efficiency in CA implemented in synchronous updating. Second, we introduce asynchronous updating in CA and show that asynchronous updating can break the trade-off found in synchronous updating. Our finding spells out the significance of asynchronous updating or the timing of computation in robust and efficient computation.

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          Computation at the edge of chaos: Phase transitions and emergent computation

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            Real-time computation at the edge of chaos in recurrent neural networks.

            Depending on the connectivity, recurrent networks of simple computational units can show very different types of dynamics, ranging from totally ordered to chaotic. We analyze how the type of dynamics (ordered or chaotic) exhibited by randomly connected networks of threshold gates driven by a time-varying input signal depends on the parameters describing the distribution of the connectivity matrix. In particular, we calculate the critical boundary in parameter space where the transition from ordered to chaotic dynamics takes place. Employing a recently developed framework for analyzing real-time computations, we show that only near the critical boundary can such networks perform complex computations on time series. Hence, this result strongly supports conjectures that dynamical systems that are capable of doing complex computational tasks should operate near the edge of chaos, that is, the transition from ordered to chaotic dynamics.
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              Earthquakes as a self-organized critical phenomenon

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                Author and article information

                Journal
                Entropy (Basel)
                Entropy (Basel)
                entropy
                Entropy
                MDPI
                1099-4300
                19 September 2020
                September 2020
                : 22
                : 9
                : 1049
                Affiliations
                [1 ]Department of Intermedia, Art and Science, School of Fundamental Science and Technology, Waseda University, 3-4-1, Ohkubo, Shinjuku, Tokyo 169-8555, Japan
                [2 ]Department of Mathematical Information Engineering, College of Industrial Technology, Nihon University, 1-2-1, Izumi-cho, Narashino, Chiba 275-8575, Japan; uragami.daisuke@ 123456nihon-u.ac.jp
                Author notes
                [* ]Correspondence: yukio@ 123456waseda.jp ; Tel.: +81-(0)3-5286-2904
                Author information
                https://orcid.org/0000-0002-0462-4932
                Article
                entropy-22-01049
                10.3390/e22091049
                7597122
                49bdc128-bcb5-4808-a2f0-f751bd3cd428
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 July 2020
                : 17 September 2020
                Categories
                Article

                cellular automata,trade-off,computational universality,computational efficiency,asynchronous updating

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