Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations

Desirée Vögeli; Sebastian Grabmaier; Matthias Jüttner; Michael Weyrich; Peter Göhner; Wolfgang M. Rucker

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Paper

Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations

Topics: Case-Based Reasoning; Cooperation and Coordination; Distributed Problem Solving; Multi-Agent Systems; Simulation

In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 200-207, 2018 , Funchal, Madeira, Portugal

Authors: Desirée Vögeli ; Sebastian Grabmaier ; Matthias Jüttner ; Michael Weyrich ; Peter Göhner and Wolfgang M. Rucker

Affiliation: University of Stuttgart, Germany

Keyword(s): Multiphysics Simulation, Software Agent, Distributed System, Case-based Reasoning.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Case-Based Reasoning ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Pattern Recognition ; Simulation ; Software Engineering ; Symbolic Systems ; Theory and Methods

Abstract: This paper presents an intelligent approach to support engineers with performing computational simulation of new developments and prototypes. With multiple interacting physical effects and large three dimensional models the choice of the right solution strategy is crucial for a correct solution and an acceptable calculation time. The presented multi-agent system can solve these simulation tasks using distributed heterogeneous computation resources with the objective to reduce the calculation time. An important factor for the criterion time is the choice of the linear solver. Here a case-based reasoning concept is introduced to improve the decisions in the multi-agent system. Allowing each agent to solve its problem part by using appropriate solution methods, a decentralized architecture with autonomous software agents is provided.

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Paper citation in several formats:

Vögeli, D.; Grabmaier, S.; Jüttner, M.; Weyrich, M.; Göhner, P. and Rucker, W. (2018). Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations. In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 200-207. DOI: 10.5220/0006590402000207

@conference{icaart18,
author={Desirée Vögeli. and Sebastian Grabmaier. and Matthias Jüttner. and Michael Weyrich. and Peter Göhner. and Wolfgang M. Rucker.},
title={Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2018},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006590402000207},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Intelligent and Distributed Solving of Multiphysics Problems Coordinated by Software Agents - An Intelligent Approach for Decentralized Simulations
SN - 978-989-758-275-2
IS - 2184-433X
AU - Vögeli, D.
AU - Grabmaier, S.
AU - Jüttner, M.
AU - Weyrich, M.
AU - Göhner, P.
AU - Rucker, W.
PY - 2018
SP - 200
EP - 207
DO - 10.5220/0006590402000207
PB - SciTePress