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Interacting Robots in an Artificial Evolutionary Ecosystem
- Source :
- Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings, 339-354, STARTPAGE=339;ENDPAGE=354;TITLE=Genetic Programming, Genetic Programming-26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Proceedings, 13986 LNCS, 339-354, Lecture Notes in Computer Science ISBN: 9783031295720, 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 . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13986 LNCS, Springer Science and Business Media Deutschland GmbH, 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
- Publication Year :
- 2023
- Publisher :
- Springer Science and Business Media Deutschland GmbH, 2023.
-
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.
Details
- Language :
- English
- ISBN :
- 978-3-031-29572-0
- ISBNs :
- 9783031295720
- Database :
- OpenAIRE
- Journal :
- Genetic Programming: 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings, 339-354, STARTPAGE=339;ENDPAGE=354;TITLE=Genetic Programming, Genetic Programming-26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Proceedings, 13986 LNCS, 339-354, Lecture Notes in Computer Science ISBN: 9783031295720, 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 . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13986 LNCS, Springer Science and Business Media Deutschland GmbH, 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
- Accession number :
- edsair.doi.dedup.....6be51533e281d3b77758a36a549b6fd3