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Evolutionary Intelligence
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
SSRN Electronic Journal
Article . 2022 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2024
Data sources: DBLP
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Heritability of Morphological and Behavioural Traits in Evolving Robots

Authors: Matteo De Carlo; Eliseo Ferrante; Daan Zeeuwe; Jacintha Ellers; A. E. Eiben;

Heritability of Morphological and Behavioural Traits in Evolving Robots

Abstract

AbstractIn the field of evolutionary robotics, choosing the correct genetic representation is a complicated and delicate matter, especially when robots evolve behaviour and morphology at the same time. One principal problem is the lack of methods or tools to investigate and compare representations. In this paper we introduce and evaluate such a tool based on the biological notion of heritability. Heritability captures the proportion of phenotypic variation caused by genotypic variation and is often used to better understand the transmissibility of traits in real biological systems. As a proof of concept, we compare the heritability of various robot traits in two systems, one using a direct (tree based) representation and one using an indirect (grammar based) representation. We measure changes in heritability during the course of evolution and investigate how direct and indirect representation can be biased towards more exploration or exploitation throughout the course of evolution. The empirical study shows that heritability can be a useful tool to analyze different representations without running complete evolutionary processes using them.

Country
Netherlands
Keywords

Heritability, Evolutionary robotics, Morphological evolution, Representation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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