Interacting Robots in an Artificial Evolutionary Ecosystem

Matteo De Carlo; Eliseo Ferrante; Jacintha Ellers; Gerben Meynen; A. E. Eiben

doi:10.1007/978-3-031-29573-7_22

Interacting Robots in an Artificial Evolutionary Ecosystem

Matteo De Carlo^*, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Genetic Programming
Subtitle of host publication	26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
Editors	Gisele Pappa, Mario Giacobini, Zdenek Vasicek
Place of Publication	Cham
Publisher	Springer
Pages	339-354
Number of pages	16
Edition	1
ISBN (Electronic)	978-3-031-29573-7
ISBN (Print)	978-3-031-29572-0
DOIs	https://doi.org/10.1007/978-3-031-29573-7_22
Publication status	Published - 29 Mar 2023
Externally published	Yes
Event	6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023 - Brno, Czech Republic Duration: 12 Apr 2023 → 14 Apr 2023

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13986
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023
Country/Territory	Czech Republic
City	Brno
Period	12/04/23 → 14/04/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Artificial Ecosystem
Evolutionary Computing
Evolutionary Robotics
Interactive Robot Ecosystem
Robot Interaction

Access to Document

10.1007/978-3-031-29573-7_22

Cite this

De Carlo, M., Ferrante, E., Ellers, J., Meynen, G., & Eiben, A. E. (2023). Interacting Robots in an Artificial Evolutionary Ecosystem. In G. Pappa, M. Giacobini, & Z. Vasicek (Eds.), Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings (1 ed., pp. 339-354). (Lecture Notes in Computer Science ; Vol. 13986). Springer. https://doi.org/10.1007/978-3-031-29573-7_22

De Carlo, Matteo ; Ferrante, Eliseo ; Ellers, Jacintha et al. / Interacting Robots in an Artificial Evolutionary Ecosystem. Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings. editor / Gisele Pappa ; Mario Giacobini ; Zdenek Vasicek. 1. ed. Cham : Springer, 2023. pp. 339-354 (Lecture Notes in Computer Science ).

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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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De Carlo, M, Ferrante, E, Ellers, J, Meynen, G & Eiben, AE 2023, Interacting Robots in an Artificial Evolutionary Ecosystem. in G Pappa, M Giacobini & Z Vasicek (eds), Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings. 1 edn, Lecture Notes in Computer Science , vol. 13986, Springer, Cham, pp. 339-354, 6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023, Brno, Czech Republic, 12/04/23. https://doi.org/10.1007/978-3-031-29573-7_22

Interacting Robots in an Artificial Evolutionary Ecosystem. / De Carlo, Matteo; Ferrante, Eliseo; Ellers, Jacintha et al.
Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings. ed. / Gisele Pappa; Mario Giacobini; Zdenek Vasicek. 1. ed. Cham: Springer, 2023. p. 339-354 (Lecture Notes in Computer Science ; Vol. 13986).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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De Carlo M, Ferrante E, Ellers J, Meynen G, Eiben AE. Interacting Robots in an Artificial Evolutionary Ecosystem. In Pappa G, Giacobini M, Vasicek Z, editors, Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings. 1 ed. Cham: Springer. 2023. p. 339-354. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-031-29573-7_22