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:	Creators Email ORCID Inhasz, Rafael Stern, Julio Michael 0000-0003-2720-3871
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:	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.pitt.edu/id/eprint/21965

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