Bio-Inspired Protocols for Embodied Multi-Agent Systems

Vinicius Souza de Jesus, Carlos Pantoja, Fabian Manoel, Gleifer Alves, Jose Viterbo, Eduardo Bezerra

Abstract

Bio-Inspired approaches and techniques are being used in different domains and applications in artificial intelligence, including the agent domain. Some agents are able to move from one system to another to establish new relationships. In biology, ecological relations are concepts responsible for classifying the relationships between living beings in an ecosystem, depending on the behavior and function that each one can assume. The objective of this work is to propose bio-inspired protocols based on ecological relations: Predation, Inquilinism, and Mutualism. These protocols aims to preserve agents’ knowledge as they can live as a tenant in another physical body waiting for a similar hardware to predate, or acquire and transmit knowledge by interacting with other agents while sharing the same physical body. To validate these protocols, a study case and a scenario are implemented, tested, and evaluated in a real environment.

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Paper Citation


in Harvard Style

Souza de Jesus V., Pantoja C., Manoel F., Alves G., Viterbo J. and Bezerra E. (2021). Bio-Inspired Protocols for Embodied Multi-Agent Systems.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-484-8, pages 312-320. DOI: 10.5220/0010257803120320


in Bibtex Style

@conference{icaart21,
author={Vinicius Souza de Jesus and Carlos Pantoja and Fabian Manoel and Gleifer Alves and Jose Viterbo and Eduardo Bezerra},
title={Bio-Inspired Protocols for Embodied Multi-Agent Systems},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2021},
pages={312-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010257803120320},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Bio-Inspired Protocols for Embodied Multi-Agent Systems
SN - 978-989-758-484-8
AU - Souza de Jesus V.
AU - Pantoja C.
AU - Manoel F.
AU - Alves G.
AU - Viterbo J.
AU - Bezerra E.
PY - 2021
SP - 312
EP - 320
DO - 10.5220/0010257803120320