Title :
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
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);
Conference_Titel :
Intelligent Agent (IA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-059-8
DOI :
10.1109/IA.2011.5953608
