Design choices for adapting bio-hybrid systems with evolutionary computation

Pedro Mariano; Ziad Salem; Rob Mills; Payam Zahadat; Luís Correia; Thomas Schmickl

doi:10.1145/3067695.3076044

Design choices for adapting bio-hybrid systems with evolutionary computation

Pedro Mariano
, Ziad Salem
, Rob Mills
, Payam Zahadat
, Luís Correia
, Thomas Schmickl

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

In this paper we report ongoing work evolving bio-hybrid societies. We develop robots that are integrated into an animal society and accepted as conspecifics. We are using evolutionary algorithms to optimise robot controllers to affect the behaviour of animals. Fitness evaluation is the result of measuring the effect a robot controller has on these animals. Animal habituation and heterogeneous response are two factors that have a major role in this fitness evaluation. We discuss our choices in designing a fitness evaluation procedure and how using animals as fitness function providers impacts this.

Original language	English
Title of host publication	Proceedings of the Genetic and Evolutionary Computation Conference Companion : GECCO 17
Number of pages	2
Place of Publication	New York, USA
Publisher	Association for Computing Machinery
Publication date	2017
Pages	211-212
ISBN (Electronic)	9781450349390}
DOIs	https://doi.org/10.1145/3067695.3076044
Publication status	Published - 2017
Externally published	Yes
Event	The Genetic and Evolutionary Computation Conference - Berlin, Germany Duration: 15 Jul 2017 → 19 Jul 2017 http://gecco-2017.sigevo.org/index.html/HomePage

Conference

Conference	The Genetic and Evolutionary Computation Conference
Country/Territory	Germany
City	Berlin
Period	15/07/2017 → 19/07/2017
Internet address	http://gecco-2017.sigevo.org/index.html/HomePage

Keywords

biohybrid systems
robot-animal interaction
evolutionary algorithms
fitness evaluation
habituation

Access to Document

10.1145/3067695.3076044Licence: Unspecified

Cite this

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title = "Design choices for adapting bio-hybrid systems with evolutionary computation",

abstract = "In this paper we report ongoing work evolving bio-hybrid societies. We develop robots that are integrated into an animal society and accepted as conspecifics. We are using evolutionary algorithms to optimise robot controllers to affect the behaviour of animals. Fitness evaluation is the result of measuring the effect a robot controller has on these animals. Animal habituation and heterogeneous response are two factors that have a major role in this fitness evaluation. We discuss our choices in designing a fitness evaluation procedure and how using animals as fitness function providers impacts this.",

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author = "Pedro Mariano and Ziad Salem and Rob Mills and Payam Zahadat and Lu{\'i}s Correia and Thomas Schmickl",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; The Genetic and Evolutionary Computation Conference, GECCO ; Conference date: 15-07-2017 Through 19-07-2017",

year = "2017",

doi = "10.1145/3067695.3076044",

language = "English",

pages = "211--212",

booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery",

address = "United States",

url = "http://gecco-2017.sigevo.org/index.html/HomePage",

}

Mariano, P, Salem, Z, Mills, R, Zahadat, P, Correia, L & Schmickl, T 2017, Design choices for adapting bio-hybrid systems with evolutionary computation. in Proceedings of the Genetic and Evolutionary Computation Conference Companion: GECCO 17. Association for Computing Machinery, New York, USA , pp. 211-212, The Genetic and Evolutionary Computation Conference, Berlin, Berlin, Germany, 15/07/2017. https://doi.org/10.1145/3067695.3076044

Design choices for adapting bio-hybrid systems with evolutionary computation. / Mariano, Pedro; Salem, Ziad; Mills, Rob et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion: GECCO 17. New York, USA : Association for Computing Machinery, 2017. p. 211-212.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Design choices for adapting bio-hybrid systems with evolutionary computation

AU - Mariano, Pedro

AU - Salem, Ziad

AU - Mills, Rob

AU - Zahadat, Payam

AU - Correia, Luís

AU - Schmickl, Thomas

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2017

Y1 - 2017

N2 - In this paper we report ongoing work evolving bio-hybrid societies. We develop robots that are integrated into an animal society and accepted as conspecifics. We are using evolutionary algorithms to optimise robot controllers to affect the behaviour of animals. Fitness evaluation is the result of measuring the effect a robot controller has on these animals. Animal habituation and heterogeneous response are two factors that have a major role in this fitness evaluation. We discuss our choices in designing a fitness evaluation procedure and how using animals as fitness function providers impacts this.

AB - In this paper we report ongoing work evolving bio-hybrid societies. We develop robots that are integrated into an animal society and accepted as conspecifics. We are using evolutionary algorithms to optimise robot controllers to affect the behaviour of animals. Fitness evaluation is the result of measuring the effect a robot controller has on these animals. Animal habituation and heterogeneous response are two factors that have a major role in this fitness evaluation. We discuss our choices in designing a fitness evaluation procedure and how using animals as fitness function providers impacts this.

KW - biohybrid systems

KW - robot-animal interaction

KW - evolutionary algorithms

KW - fitness evaluation

KW - habituation

U2 - 10.1145/3067695.3076044

DO - 10.1145/3067695.3076044

M3 - Article in proceedings

SP - 211

EP - 212

BT - Proceedings of the Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

CY - New York, USA

T2 - The Genetic and Evolutionary Computation Conference

Y2 - 15 July 2017 through 19 July 2017

ER -

Design choices for adapting bio-hybrid systems with evolutionary computation

Abstract

Conference

Keywords

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Cite this