The Emergence of Multi-Cellular Robot Organisms through On-line On-board Evolution

B.P.M. Weel; E.W. Haasdijk; A.E. Eiben

doi:10.1007/978-3-642-29178-4_13

The Emergence of Multi-Cellular Robot Organisms through On-line On-board Evolution

B.P.M. Weel, E.W. Haasdijk, A.E. Eiben

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

We investigate whether a swarm of robots can evolve controllers that cause aggregation into 'multi-cellular' robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that 'multi-cellular' robot organisms emerge in all of these cases. © 2012 Springer-Verlag.

Original language	English
Pages (from-to)	124-134
Journal	Lecture Notes in Computer Science
Volume	7248
DOIs	https://doi.org/10.1007/978-3-642-29178-4_13
Publication status	Published - 2012
Event	EvoApplications - Duration: 11 Apr 2012 → 13 Apr 2012

Bibliographical note

Proceedings title: Applications of Evolutionary Computation: Proceedings of EvoApplications 2012
Publisher: Springer
ISBN: 978-3-642-29178-4
Editors: C di Chio

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title = "The Emergence of Multi-Cellular Robot Organisms through On-line On-board Evolution",

abstract = "We investigate whether a swarm of robots can evolve controllers that cause aggregation into 'multi-cellular' robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that 'multi-cellular' robot organisms emerge in all of these cases. {\textcopyright} 2012 Springer-Verlag.",

author = "B.P.M. Weel and E.W. Haasdijk and A.E. Eiben",

note = "Proceedings title: Applications of Evolutionary Computation: Proceedings of EvoApplications 2012 Publisher: Springer ISBN: 978-3-642-29178-4 Editors: C di Chio; EvoApplications ; Conference date: 11-04-2012 Through 13-04-2012",

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AU - Weel, B.P.M.

AU - Haasdijk, E.W.

AU - Eiben, A.E.

N1 - Proceedings title: Applications of Evolutionary Computation: Proceedings of EvoApplications 2012 Publisher: Springer ISBN: 978-3-642-29178-4 Editors: C di Chio

PY - 2012

Y1 - 2012

N2 - We investigate whether a swarm of robots can evolve controllers that cause aggregation into 'multi-cellular' robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that 'multi-cellular' robot organisms emerge in all of these cases. © 2012 Springer-Verlag.

AB - We investigate whether a swarm of robots can evolve controllers that cause aggregation into 'multi-cellular' robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that 'multi-cellular' robot organisms emerge in all of these cases. © 2012 Springer-Verlag.

U2 - 10.1007/978-3-642-29178-4_13

DO - 10.1007/978-3-642-29178-4_13

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - EvoApplications

Y2 - 11 April 2012 through 13 April 2012

ER -

The Emergence of Multi-Cellular Robot Organisms through On-line On-board Evolution

Abstract

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