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 f...

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Published in:	Transactions of the Charles S. Peirce Society Vol. 49; no. 2; pp. 203 - 237
Main Authors:	Koshul, Basit B, Akhtar, Junaid, Awais, Mian M
Format:	Journal Article
Language:	English
Published:	Bloomington, IN Indiana University Press 01.04.2013
Subjects:	Algorithms Analysis Biological evolution Biology Computer science Contemporary problems Crossovers Darwin, Charles (1809-1882) Darwinism Epistemology. Philosophy of science. Theory of knowledge Evolution Evolutionary algorithms Evolutionary theories Firstness Genetic algorithms Hypotheses Mathematical functions Peirce, Charles Sanders (1839-1914) Philosophy Population genetics Pragmatism Raw materials Secondness Test theory Theory Thirdness systems biology Charles Sanders Peirce Knowledge theory evolutionary algorithms theories of evolution stagnation Charles Darwin epigenetics
ISSN:	0009-1774, 1558-9587
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Abstract	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.
AbstractList	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. 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 high-dimensional 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. Keywords: Charles Sanders Peirce, Charles Darwin, evolutionary algorithms, theories of evolution, stagnation, epigenetics, systems biology. 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 high-dimensional 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. 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. [PUBLICATION ABSTRACT]
Audience	Academic
Author	Awais, Mian M Koshul, Basit B Akhtar, Junaid
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RelatedPersons	Darwin, Charles (1809-1882) Peirce, Charles Sanders (1839-1914)
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SubjectTerms	Algorithms Analysis Biological evolution Biology Computer science Contemporary problems Crossovers Darwin, Charles (1809-1882) Darwinism Epistemology. Philosophy of science. Theory of knowledge Evolution Evolutionary algorithms Evolutionary theories Firstness Genetic algorithms Hypotheses Mathematical functions Peirce, Charles Sanders (1839-1914) Philosophy Population genetics Pragmatism Raw materials Secondness Test theory Theory Thirdness
Title	Putting Peirce's Theory to the Test: Peircean Evolutionary Algorithms
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