Literature DB >> 11607588

The evolution of emergent computation.

J P Crutchfield1, M Mitchell.   

Abstract

A simple evolutionary process can discover sophisticated methods for emergent information processing in decentralized spatially extended systems. The mechanisms underlying the resulting emergent computation are explicated by a technique for analyzing particle-based logic embedded in pattern-forming systems. Understanding how globally coordinated computation can emerge in evolution is relevant both for the scientific understanding of natural information processing and for engineering new forms of parallel computing systems.

Year:  1995        PMID: 11607588      PMCID: PMC40688          DOI: 10.1073/pnas.92.23.10742

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  3 in total

1.  No perfect two-state cellular automata for density classification exists.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-06-19       Impact factor: 9.161

2.  Inferring statistical complexity.

Authors: 
Journal:  Phys Rev Lett       Date:  1989-07-10       Impact factor: 9.161

Review 3.  Dictyostelium discoideum: a model system for cell-cell interactions in development.

Authors:  P Devreotes
Journal:  Science       Date:  1989-09-08       Impact factor: 47.728

  3 in total
  12 in total

1.  Neutral evolution of mutational robustness.

Authors:  E van Nimwegen; J P Crutchfield; M Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  Emergence of homeostasis and "noise imprinting" in an evolution model.

Authors:  M D Stern
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

3.  Efficient system-wide coordination in noisy environments.

Authors:  André A Moreira; Abhishek Mathur; Daniel Diermeier; Luís A N Amaral
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-05       Impact factor: 11.205

4.  Computation of mutual fitness by competing bacteria.

Authors:  Juan E Keymer; Peter Galajda; Guillaume Lambert; David Liao; Robert H Austin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-11       Impact factor: 11.205

5.  How does mobility help distributed systems compute?

Authors:  William F Vining; Fernando Esponda; Melanie E Moses; Stephanie Forrest
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-10       Impact factor: 6.237

Review 6.  Stomatal patchiness and task-performing networks.

Authors:  Keith A Mott; David Peak
Journal:  Ann Bot       Date:  2006-11-03       Impact factor: 4.357

7.  Canalization and control in automata networks: body segmentation in Drosophila melanogaster.

Authors:  Manuel Marques-Pita; Luis M Rocha
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

8.  Evidence for complex, collective dynamics and emergent, distributed computation in plants.

Authors:  David Peak; Jevin D West; Susanna M Messinger; Keith A Mott
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-19       Impact factor: 11.205

Review 9.  Using evolutionary computations to understand the design and evolution of gene and cell regulatory networks.

Authors:  Alexander Spirov; David Holloway
Journal:  Methods       Date:  2013-05-30       Impact factor: 3.608

10.  Micro-bias and macro-performance.

Authors:  S M D Seaver; A A Moreira; M Sales-Pardo; R D Malmgren; D Diermeier; L A N Amaral
Journal:  Eur Phys J B       Date:  2009-02-01       Impact factor: 1.500

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