loading
Papers

Research.Publish.Connect.

Paper

Authors: Jérémy Boes ; Tom Jorquera and Guy Camilleri

Affiliation: University of Toulouse and IRIT/Team SMAC, France

ISBN: 978-989-758-219-6

Keyword(s): Multi-Agent Systems, Self-Adaptive Systems, Co-Simulation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Self Organizing Systems ; Software Engineering ; Symbolic Systems

Abstract: Simulating large systems, such as smart grids, often requires to build a network of specific simulators. Making heterogeneous simulators work together is a challenge in itself, but recent advances in the field of co-simulation are providing answers. However, one key problem arises, and has not been sufficiently addressed: the initialization of such networks. Many simulators need to have proper input values to start. But in the network, each input is another simulator’s output. One has to find the initial input values of all simulators such as their computed output is equal to the initial input value of the connected simulators. Given that simulators often contain differential equations, this is hard to solve even with a small number of simulators, and nearly impossible with a large number of them. In this paper, we present a mutli-agent system designed to solve the co-simulation initialization problem, and show preliminary results on large networks.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.208.159.25

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Boes, J.; Jorquera, T. and Camilleri, G. (2017). Principles and Experiments of a Multi-Agent Approach for Large Co-Simulation Networks Initialization.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 58-66. DOI: 10.5220/0006186300580066

@conference{icaart17,
author={Jérémy Boes. and Tom Jorquera. and Guy Camilleri.},
title={Principles and Experiments of a Multi-Agent Approach for Large Co-Simulation Networks Initialization},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={58-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006186300580066},
isbn={978-989-758-219-6},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Principles and Experiments of a Multi-Agent Approach for Large Co-Simulation Networks Initialization
SN - 978-989-758-219-6
AU - Boes, J.
AU - Jorquera, T.
AU - Camilleri, G.
PY - 2017
SP - 58
EP - 66
DO - 10.5220/0006186300580066

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.