TY - GEN
T1 - Interacting Robots in an Artificial Evolutionary Ecosystem
AU - de Carlo, Matteo
AU - Ferrante, Eliseo
AU - Ellers, Jacintha
AU - Meynen, Gerben
AU - Eiben, A. E.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Artificial Ecosystem
KW - Evolutionary Computing
KW - Evolutionary Robotics
KW - Interactive Robot Ecosystem
KW - Robot Interaction
UR - http://www.scopus.com/inward/record.url?scp=85152521906&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-29573-7_22
DO - 10.1007/978-3-031-29573-7_22
M3 - Conference contribution
SN - 9783031295720
VL - 13986 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 339
EP - 354
BT - Genetic Programming - 26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Proceedings
A2 - Pappa, Gisele
A2 - Giacobini, Mario
A2 - Vasicek, Zdenek
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023
Y2 - 12 April 2023 through 14 April 2023
ER -