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Author: Alfonso Íñiguez

Affiliation: Swarm Technology, United States

Keyword(s): Autonomous, Robotics, Artificial Intelligence, Multi-Agent, Swarm Intelligence, Parallel Processing.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Cognitive Robotics ; Cognitive Systems ; Computational Intelligence ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Informatics in Control, Automation and Robotics ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Multi-Agent Systems ; Robot and Multi-Robot Systems ; Robotics and Automation ; Self Organizing Systems ; Soft Computing ; Software Engineering ; Symbolic Systems

Abstract: The aim of this paper is to investigate the curious cognition process exhibited by the octopus, and its practical applicability to multi-agent systems. The paper begins by explaining the limitations of using the human brain as a model to achieve artificial cognition and proposes an alternative model inspired by the octopus’ distributed approach to solving problems. As a case study, a laboratory prototype demonstrates awareness, autonomy, solidarity, expandability, and resiliency in a multi-robotic system. The cognition model described in this paper is primarily algorithmic and does not explore the model creation process nor semantics; rather, it lays the foundation and inspiration for a future realization as a Process for Agent Societies Specification and Implementation (PASSI).

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Paper citation in several formats:
Íñiguez, A. (2017). The Octopus as a Model for Artificial Intelligence - A Multi-Agent Robotic Case Study. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-220-2; ISSN 2184-433X, SciTePress, pages 439-444. DOI: 10.5220/0006125404390444

@conference{icaart17,
author={Alfonso Íñiguez.},
title={The Octopus as a Model for Artificial Intelligence - A Multi-Agent Robotic Case Study},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2017},
pages={439-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006125404390444},
isbn={978-989-758-220-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - The Octopus as a Model for Artificial Intelligence - A Multi-Agent Robotic Case Study
SN - 978-989-758-220-2
IS - 2184-433X
AU - Íñiguez, A.
PY - 2017
SP - 439
EP - 444
DO - 10.5220/0006125404390444
PB - SciTePress