A bio-inspired agent-based system for controlling robot behaviour

Author

Yao, Y. ; Baele, G. ; Van de Peer, Y.

Author_Institution

Dept. of Plant Syst. Biol., VIB, Ghent, Belgium

fYear

2011

fDate

11-15 April 2011

Firstpage

1

Lastpage

8

Abstract

In this paper, we present an agent-based system to control a single robot´s behaviour. We present an artificial genome structure, based on gene regulatory networks, in which several regions can be distinguished such as promoter regions, indicator genes, transcription factor binding sites, regulatory genes and expressed genes. We use agent-based modeling (ABM) to simulate a bio-inspired system based on the artificial genome, with the ultimate goal of providing phenotypic information for a simulated robot. We show that the presence of a feedback loop in the agent-based system, along with the corresponding agent replacements, is essential to allow the robot to perform its tasks.

Keywords

control engineering computing; feedback; genetic algorithms; multi-agent systems; robots; agent-based modeling; artificial genome structure; bio-inspired agent-based system; expressed genes; feedback loop; gene regulatory networks; indicator genes; phenotypic information; promoter regions; robot behaviour control; simulated robot; transcription factor binding sites; Actuators; Bioinformatics; Feedback loop; Genomics; Proteins; Robot sensing systems; Agent-based System; Bio-inspired Robot; Gene Regulatory Networks(GRN);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Agent (IA), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-61284-059-8

Type

conf

DOI

10.1109/IA.2011.5953608

Filename

5953608