Putting Peirce's Theory to the Test: Peircean Evolutionary Algorithms.

While Charles Darwin proposed one of the first systematic arguments evidencing evolution, alternatives with a strong empirical grounding exist. These alternatives deserve our attention, if only because some of them claim to correct the oversights in Darwin's theory. Charles Sanders Peirce put forth...

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Publicado en:Transactions of the Charles S. Peirce Society Vol. 49; no. 2; pp. 203 - 238
Autores principales: Akhtar, Junaid, Awais, Mian M., Koshul, Basit B.
Formato: Artículo
Publicado: Indiana University Press Spring2013
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Acceso en línea:Ver este registro en EBSCOhost
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          Akhtar, Junaid
          Awais, Mian M.
          Koshul, Basit B.
        affil:
          Department of Computer Science, Lahore University of Management Sciences, Pakistan, ,
          Department of Humanities and Social Sciences, Lahore University of Management Sciences, Pakistan,
      su:
        Peirce, Charles S. (Charles Sanders), 1839-1914
        Evolutionary algorithms
        Evolutionary computation
        Evolution & philosophy
        Darwin, Charles, 1809-1882
        Epigenetics
        Systems biology
      sug:
        subj:
          Peirce, Charles S. (Charles Sanders), 1839-1914
          Evolutionary algorithms
          Evolutionary computation
          Evolution & philosophy
          Darwin, Charles, 1809-1882
          Epigenetics
          Systems biology
      keyword:
        Charles Darwin
        Charles Sanders Peirce
        epigenetics
        evolutionary algorithms
        stagnation
        systems biology.
        theories of evolution
      ab: While Charles Darwin proposed one of the first systematic arguments evidencing evolution, alternatives with a strong empirical grounding exist. These alternatives deserve our attention, if only because some of them claim to correct the oversights in Darwin's theory. Charles Sanders Peirce put forth one such theory. This article devises a novel Peircean Evolutionary Algorithm for finding the solution to a class of optimization problems in the domain of Evolutionary Computation (EC). The results are computed against a benchmark highdimensional set of mathematical functions and compared with standard Darwinian Evolutionary Algorithms (EAs) and their advanced variants. Although there is further work to be done, this research meets four different but interrelated objectives: 1) To highlight the difference between Darwinian and Peircean understandings of natural evolution, 2) To show how cutting-edge work in molecular biology, symbiogenesis, epigenetics, and systems biology are moving in the direction of Peirce's ideas, 3) To propose a Peircean evolutionary framework that can act as a theoretical foundation for EC, and 4) To meet at least one major challenge facing the Evolutionary Computation community: convergence to local minima due to stagnation.
      pubtype: Academic Journal
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      src: R
    language: English
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