Teleo-Reactive Agents in a Simulation Platform
Vasileios Apostolidis-Afentoulis, Ilias Sakellariou
2023
Abstract
Agent based modeling and simulation (ABMS) has been applied to a number of research areas including economics, social sciences, urban planning, epidemiology etc. with significant success. Agent simulation platforms have long been the principal tool, contributing to the wide adoption of ABMS, offering rapid model development for researchers in various fields. However, in most of the cases, agent behaviour in simulations is encoded employing standard or domain specific programming languages, with limited support for agent programming at a higher level. The present work contributes towards this direction, presenting an implementation of the Teleo-Reactive approach proposed by Nilsson for robotic control, to a well known ABMS platform, NetLogo. The aim is to allow modelers to encode complex agent models easily and thus to enhance the impact of ABMS to the respective fields.
DownloadPaper Citation
in Harvard Style
Apostolidis-Afentoulis V. and Sakellariou I. (2023). Teleo-Reactive Agents in a Simulation Platform. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-623-1, pages 26-36. DOI: 10.5220/0011635300003393
in Bibtex Style
@conference{icaart23,
author={Vasileios Apostolidis-Afentoulis and Ilias Sakellariou},
title={Teleo-Reactive Agents in a Simulation Platform},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2023},
pages={26-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011635300003393},
isbn={978-989-758-623-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Teleo-Reactive Agents in a Simulation Platform
SN - 978-989-758-623-1
AU - Apostolidis-Afentoulis V.
AU - Sakellariou I.
PY - 2023
SP - 26
EP - 36
DO - 10.5220/0011635300003393