Interacting Robots in a Artificial Evolutionary Ecosystem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{De-Carlo:2023:EuroGP,
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author = "Matteo {De Carlo} and Eliseo Ferrante and
Jacintha Ellers and Gerben Meynen and A. E. Eiben",
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title = "Interacting Robots in a Artificial Evolutionary
Ecosystem",
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booktitle = "EuroGP 2023: Proceedings of the 26th European
Conference on Genetic Programming",
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year = "2023",
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month = "12-14 " # apr,
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editor = "Gisele Pappa and Mario Giacobini and Zdenek Vasicek",
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series = "LNCS",
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volume = "13986",
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publisher = "Springer Verlag",
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address = "Brno, Czech Republic",
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pages = "339--354",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Evolutionary
Computing, Evolutionary Robotics, Robot Interaction,
Artificial Ecosystem, Interactive Robot Ecosystem:
Poster",
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isbn13 = "978-3-031-29572-0",
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URL = "https://rdcu.be/c8U3U",
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DOI = "doi:10.1007/978-3-031-29573-7_22",
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size = "16 pages",
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abstract = "In Evolutionary Robotics where both body and brain are
malleable, it is common practice to evaluate
individuals in isolated environments. With the
objective of implementing a more naturally plausible
system, we designed a single interactive ecosystem for
robots to be evaluated in. In this ecosystem robots are
physically present and can interact each other and we
implemented decentralized rules for mate selection and
reproduction. To study the effects of evaluating robots
in an interactive ecosystem has on evolution, we
compare the evolutionary process with a more
traditional, oracle-based approach. In our analysis, we
observe how the different approach has a substantial
impact on the final behaviour and morphology of the
robots, while maintaining decent fitness performance.",
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notes = "Part of \cite{Pappa:2023:GP} EuroGP'2023 held in
conjunction with EvoCOP2023, EvoMusArt2023 and
EvoApplications2023",
- }
Genetic Programming entries for
Matteo De Carlo
Eliseo Ferrante
Jacintha Ellers
Gerben Meynen
Gusz Eiben
Citations