Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers.

Payam Zahadat; Thomas Schmickl; Karl Crailsheim

doi:10.7551/978-0-262-31709-2-ch103

Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers.

Payam Zahadat
, Thomas Schmickl
, Karl Crailsheim

University of Graz

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

Abstract

In this paper, a gene regulatory network called FGRN (Fractal Gene Regulatory Network) and a reaction-diffusion system called AHHS (Artificial Homeostatic Hormone System) are investigated for spatial pattern formation. The two bioinspired controllers possess similar and different features in
terms of their underlying processes, structures, and communication abilities. By comparing their behaviours and capabilities in pattern formation, we provide a deeper understanding of the effects of their features. The controllers are evolved
and investigated for producing various patterns in presence of different implicit positional information as well as developing a memory in order to keep the desired pattern when the positional information is eliminated. The behaviours of the controllers in each case are discussed and a preliminary test of robustness is performed. The experiments represent a positive impact of diffusion process in AHHS that is compensated by the complex structure of FGRN in producing patterns in presence of positional information and a negative effect of diffusion process in memory capability.

Original language	English
Title of host publication	ECAL 2013: The Twelfth European Conference on Artificial Life
Number of pages	8
Publisher	MIT Press
Publication date	2013
Pages	721-728
DOIs	https://doi.org/10.7551/978-0-262-31709-2-ch103
Publication status	Published - 2013
Externally published	Yes
Event	Conference on Artificial Life - Trento, Italy Duration: 18 Jul 2022 → 22 Jul 2022 Conference number: 2022

Conference

Conference	Conference on Artificial Life
Number	2022
Country/Territory	Italy
City	Trento
Period	18/07/2022 → 22/07/2022

Keywords

Fractal Gene Regulatory Network (FGRN)
Artificial Homeostatic Hormone System (AHHS)
Reaction-Diffusion Systems
Spatial Pattern Formation
Memory in Pattern Formation and Positional Information

Access to Document

10.7551/978-0-262-31709-2-ch103Licence: CC BY

Cite this

@inproceedings{06615fb774eb4ababbecc6cd497a0e2f,

title = "Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers.",

abstract = "In this paper, a gene regulatory network called FGRN (Fractal Gene Regulatory Network) and a reaction-diffusion system called AHHS (Artificial Homeostatic Hormone System) are investigated for spatial pattern formation. The two bioinspired controllers possess similar and different features in terms of their underlying processes, structures, and communication abilities. By comparing their behaviours and capabilities in pattern formation, we provide a deeper understanding of the effects of their features. The controllers are evolved and investigated for producing various patterns in presence of different implicit positional information as well as developing a memory in order to keep the desired pattern when the positional information is eliminated. The behaviours of the controllers in each case are discussed and a preliminary test of robustness is performed. The experiments represent a positive impact of diffusion process in AHHS that is compensated by the complex structure of FGRN in producing patterns in presence of positional information and a negative effect of diffusion process in memory capability.",

keywords = "Fractal Gene Regulatory Network (FGRN), Artificial Homeostatic Hormone System (AHHS), Reaction-Diffusion Systems, Spatial Pattern Formation, Memory in Pattern Formation and Positional Information",

author = "Payam Zahadat and Thomas Schmickl and Karl Crailsheim",

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.; Conference on Artificial Life, ALIFE ; Conference date: 18-07-2022 Through 22-07-2022",

year = "2013",

doi = "10.7551/978-0-262-31709-2-ch103",

language = "English",

pages = "721--728",

booktitle = "ECAL 2013: The Twelfth European Conference on Artificial Life",

publisher = "MIT Press",

address = "United States",

}

TY - GEN

T1 - Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers.

AU - Zahadat, Payam

AU - Schmickl, Thomas

AU - Crailsheim, Karl

N1 - Conference code: 2022

PY - 2013

Y1 - 2013

N2 - In this paper, a gene regulatory network called FGRN (Fractal Gene Regulatory Network) and a reaction-diffusion system called AHHS (Artificial Homeostatic Hormone System) are investigated for spatial pattern formation. The two bioinspired controllers possess similar and different features in terms of their underlying processes, structures, and communication abilities. By comparing their behaviours and capabilities in pattern formation, we provide a deeper understanding of the effects of their features. The controllers are evolved and investigated for producing various patterns in presence of different implicit positional information as well as developing a memory in order to keep the desired pattern when the positional information is eliminated. The behaviours of the controllers in each case are discussed and a preliminary test of robustness is performed. The experiments represent a positive impact of diffusion process in AHHS that is compensated by the complex structure of FGRN in producing patterns in presence of positional information and a negative effect of diffusion process in memory capability.

AB - In this paper, a gene regulatory network called FGRN (Fractal Gene Regulatory Network) and a reaction-diffusion system called AHHS (Artificial Homeostatic Hormone System) are investigated for spatial pattern formation. The two bioinspired controllers possess similar and different features in terms of their underlying processes, structures, and communication abilities. By comparing their behaviours and capabilities in pattern formation, we provide a deeper understanding of the effects of their features. The controllers are evolved and investigated for producing various patterns in presence of different implicit positional information as well as developing a memory in order to keep the desired pattern when the positional information is eliminated. The behaviours of the controllers in each case are discussed and a preliminary test of robustness is performed. The experiments represent a positive impact of diffusion process in AHHS that is compensated by the complex structure of FGRN in producing patterns in presence of positional information and a negative effect of diffusion process in memory capability.

KW - Fractal Gene Regulatory Network (FGRN)

KW - Artificial Homeostatic Hormone System (AHHS)

KW - Reaction-Diffusion Systems

KW - Spatial Pattern Formation

KW - Memory in Pattern Formation and Positional Information

U2 - 10.7551/978-0-262-31709-2-ch103

DO - 10.7551/978-0-262-31709-2-ch103

M3 - Article in proceedings

SP - 721

EP - 728

BT - ECAL 2013: The Twelfth European Conference on Artificial Life

PB - MIT Press

T2 - Conference on Artificial Life

Y2 - 18 July 2022 through 22 July 2022

ER -

Evolution of Spatial Pattern Formation by Autonomous Bio-Inspired Cellular Controllers.

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this