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Authors: Benjamin Klöpper and Wilhelm Dangelmaier

Affiliation: Heinz Nixdorf Institute, University Of Paderborn, Germany

ISBN: 978-989-8111-66-1

Keyword(s): Self-optimization, Mechatronics, Multi-agent systems, Planning and coordination.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Industrial Applications of AI ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Soft Computing ; Software Engineering ; Symbolic Systems ; Task Planning and Execution

Abstract: The paradigm of self-optimization introduces flexible and highly adaptive mechatronic systems. During the exploiation of this flexibility, new problems arise. One of these problems is the coordination of mechatronics systems and subsystems. This paper introduces the application area self-optimizing mechatronic systems and identifies the arising coordination problems. Two main scenarios are identified: coordination of autonomous mechatronic systems and coordination of several subsystems within an autonomous mechatronic system. We will show that multi-agent technology and in particular multi-agent planning can be applied to solve both coordination scenarios.

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Paper citation in several formats:
Klöpper B.; Dangelmaier W. and (2009). COORDINATION OF SELF-OPTIMIZING MECHATRONIC SYSTEMS - A New Application for Multi-Agent Planning.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 312-317. DOI: 10.5220/0001794903120317

@conference{icaart09,
author={Benjamin Klöpper and Wilhelm Dangelmaier},
title={COORDINATION OF SELF-OPTIMIZING MECHATRONIC SYSTEMS - A New Application for Multi-Agent Planning},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={312-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001794903120317},
isbn={978-989-8111-66-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - COORDINATION OF SELF-OPTIMIZING MECHATRONIC SYSTEMS - A New Application for Multi-Agent Planning
SN - 978-989-8111-66-1
AU - Klöpper, B.
AU - Dangelmaier, W.
PY - 2009
SP - 312
EP - 317
DO - 10.5220/0001794903120317

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