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Emergent Semiotics in Genetic Programming and the Self-Adaptive Semantic Crossover

Inhasz, Rafael and Stern, Julio Michael (2010) Emergent Semiotics in Genetic Programming and the Self-Adaptive Semantic Crossover. [Preprint]

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Abstract

We present SASC, Self-Adaptive Semantic Crossover, a new class of crossover operators for genetic programming. SASC operators are designed to induce the emergence and then preserve good building-blocks, using meta-control techniques based on semantic compatibility measures. SASC performance is tested in a case study concerning the replication of investment funds.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Inhasz, Rafael
Stern, Julio Michael0000-0003-2720-3871
Additional Information: Compiled from author's preprint LaTeX file.
Keywords: Evolutionary algorithms, genetic programming, crossover operators, building blocks, modularity, emergent semiotics, semantic meta-control.
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science
General Issues > Computer Simulation
General Issues > Confirmation/Induction
Specific Sciences > Cultural Evolution
Specific Sciences > Cognitive Science > Learning and Memory
Specific Sciences > Probability/Statistics
Depositing User: Prof. Julio Michael Stern
Date Deposited: 03 Apr 2023 14:08
Last Modified: 03 Apr 2023 14:08
Item ID: 21965
Official URL: http://doi.org/10.1007/978-3-642-15223-8_21
DOI or Unique Handle: https://doi.org/10.1007/978-3-642-15223-8_21
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science
General Issues > Computer Simulation
General Issues > Confirmation/Induction
Specific Sciences > Cultural Evolution
Specific Sciences > Cognitive Science > Learning and Memory
Specific Sciences > Probability/Statistics
Date: 2010
Page Range: pp. 381-392
Volume: 314
ISSN: 1860-949X
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/21965

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