Just How (Un)realistic are Evolutionary Algorithms as Representations of Social Processes?   [EA]

by

Chattoe, E.

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Info: The Journal of Artificial Societies and Social Simulation (Journal), 1998
Keywords:genetic algorithms, genetic programming, evolutionary algorithms, social evolution, selectionist paradigm
Abstract:
This paper attempts to illustrate the importance of a coherent behavioural interpretation in applying evolutionary algorithms [EA] like Genetic Algorithms [GA] and Genetic Programming to [GP] the modelling of social processes. It summarises and draws out the implications of the Neo-Darwinian Synthesis for processes of social evolution [SE] and then discusses the extent to which evolutionary algorithms [EA] capture the aspects of biological evolution which are relevant to social processes. The paper uses several recent papers in the field as case studies, discussing more and less successful uses of evolutionary algorithms [EA] in social science. The key aspects of evolution discussed in the paper are that it is dependent on relative rather than absolute fitness, it does not require global knowledge or a system level teleology, it avoids the credit assignment problem, [CA] it does not exclude Lamarckian inheritance and it is both progressive and open ended.
Notes:
JASSS
URL(s):(G)zipped postscript
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BibTex:
@Article{chattoe:1998:uEArsp,
  author =       "Edmund Chattoe",
  title =        "Just How (Un)realistic are Evolutionary Algorithms as
                 Representations of Social Processes?",
  journal =      "The Journal of Artificial Societies and Social
                 Simulation",
  year =         "1998",
  volume =       "1",
  number =       "3",
  month =        "30 " # jun,
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 algorithms, social evolution, selectionist paradigm",
  URL =          "http://www.soc.surrey.ac.uk/JASSS/1/3/2.html",
  size =         "158407 bytes",
  abstract =     "This paper attempts to illustrate the importance of a
                 coherent behavioural interpretation in applying
                 evolutionary algorithms like Genetic Algorithms and
                 Genetic Programming to the modelling of social
                 processes. It summarises and draws out the implications
                 of the Neo-Darwinian Synthesis for processes of social
                 evolution and then discusses the extent to which
                 evolutionary algorithms capture the aspects of
                 biological evolution which are relevant to social
                 processes. The paper uses several recent papers in the
                 field as case studies, discussing more and less
                 successful uses of evolutionary algorithms in social
                 science. The key aspects of evolution discussed in the
                 paper are that it is dependent on relative rather than
                 absolute fitness, it does not require global knowledge
                 or a system level teleology, it avoids the credit
                 assignment problem, it does not exclude Lamarckian
                 inheritance and it is both progressive and open
                 ended.",
  notes =        "JASSS",
}