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The Challenges of Natural Algorithms

Published: 20 July 2016 Publication History

Abstract

This talk will sketch an algorithmic approach to the dynamics of living systems. Our working models consist of entropy-producing dissipative dynamic networks driven by a supply of free energy. They can be found in opinion dynamics, synchronization systems, and in many evolutionary contexts.
The main challenge posed by these "natural algorithms" is the dearth of analytical tools currently at our disposal. The focus of our work has been on building a new theory of endogenously-driven dynamic networks rich enough to allow for the renormalization of large-scale systems. The main novelty of our approach to dynamical systems is to make algorithms the centerpiece of the analysis.

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  1. The Challenges of Natural Algorithms

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    cover image ACM Conferences
    GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016
    July 2016
    1196 pages
    ISBN:9781450342063
    DOI:10.1145/2908812
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 20 July 2016

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    1. keynote talk

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    GECCO '16
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    GECCO '16: Genetic and Evolutionary Computation Conference
    July 20 - 24, 2016
    Colorado, Denver, USA

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    GECCO '16 Paper Acceptance Rate 137 of 381 submissions, 36%;
    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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