Evolution of bilateral symmetry in agents controlled by spiking neural networks

N. Oros; Volker Steuber; N. Davey; Lola Cañamero; R.G. Adams

doi:10.1109/ALIFE.2009.4937702

Evolution of bilateral symmetry in agents controlled by spiking neural networks

N. Oros, Volker Steuber, N. Davey, Lola Cañamero, R.G. Adams

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

125 Downloads (Pure)

Abstract

We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that can use bilateral symmetry. We show that these models can create neural controllers for agents evolved to perform chemotaxis. Neural bilateral symmetry can be evolved and be beneficial for an agent. This work is the first, as far as we know, to present developmental models where spiking neurons are generated in space and where bilateral symmetry can be evolved and proved to be beneficial in this context.

Original language	English
Title of host publication	Procs IEEE Symposium on Artificial Life
Subtitle of host publication	IEEE ALife '09
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	116-123
ISBN (Print)	978-1-4244-2763-5
DOIs	https://doi.org/10.1109/ALIFE.2009.4937702
Publication status	Published - 2009
Event	IEEE Symposium on Artificial Life 2009 - Nashville, United States Duration: 3 Mar 2009 → 2 Apr 2009

Conference

Conference	IEEE Symposium on Artificial Life 2009
Country/Territory	United States
City	Nashville
Period	3/03/09 → 2/04/09

Access to Document

10.1109/ALIFE.2009.4937702

903562
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”
Final published version, 755 KB

Cite this

@inproceedings{5657eabc9d7b400283b6d713bcbc8d8b,

title = "Evolution of bilateral symmetry in agents controlled by spiking neural networks",

abstract = "We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that can use bilateral symmetry. We show that these models can create neural controllers for agents evolved to perform chemotaxis. Neural bilateral symmetry can be evolved and be beneficial for an agent. This work is the first, as far as we know, to present developmental models where spiking neurons are generated in space and where bilateral symmetry can be evolved and proved to be beneficial in this context.",

author = "N. Oros and Volker Steuber and N. Davey and Lola Ca{\~n}amero and R.G. Adams",

year = "2009",

doi = "10.1109/ALIFE.2009.4937702",

language = "English",

isbn = "978-1-4244-2763-5",

pages = "116--123",

booktitle = "Procs IEEE Symposium on Artificial Life",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE Symposium on Artificial Life 2009 ; Conference date: 03-03-2009 Through 02-04-2009",

}

Oros, N, Steuber, V, Davey, N, Cañamero, L & Adams, RG 2009, Evolution of bilateral symmetry in agents controlled by spiking neural networks. in Procs IEEE Symposium on Artificial Life: IEEE ALife '09. Institute of Electrical and Electronics Engineers (IEEE), pp. 116-123, IEEE Symposium on Artificial Life 2009, Nashville, United States, 3/03/09. https://doi.org/10.1109/ALIFE.2009.4937702

TY - GEN

T1 - Evolution of bilateral symmetry in agents controlled by spiking neural networks

AU - Oros, N.

AU - Steuber, Volker

AU - Davey, N.

AU - Cañamero, Lola

AU - Adams, R.G.

PY - 2009

Y1 - 2009

N2 - We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that can use bilateral symmetry. We show that these models can create neural controllers for agents evolved to perform chemotaxis. Neural bilateral symmetry can be evolved and be beneficial for an agent. This work is the first, as far as we know, to present developmental models where spiking neurons are generated in space and where bilateral symmetry can be evolved and proved to be beneficial in this context.

AB - We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that can use bilateral symmetry. We show that these models can create neural controllers for agents evolved to perform chemotaxis. Neural bilateral symmetry can be evolved and be beneficial for an agent. This work is the first, as far as we know, to present developmental models where spiking neurons are generated in space and where bilateral symmetry can be evolved and proved to be beneficial in this context.

UR - http://www.scopus.com/inward/record.url?scp=67650503694&partnerID=8YFLogxK

U2 - 10.1109/ALIFE.2009.4937702

DO - 10.1109/ALIFE.2009.4937702

M3 - Conference contribution

SN - 978-1-4244-2763-5

SP - 116

EP - 123

BT - Procs IEEE Symposium on Artificial Life

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE Symposium on Artificial Life 2009

Y2 - 3 March 2009 through 2 April 2009

ER -

Evolution of bilateral symmetry in agents controlled by spiking neural networks

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this