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Authors: G. Enee 1 and J. Collonge 2

Affiliations: 1 ISEA - EA 7484, UNC, Campus de Nouville, Noumea and New Caledonia ; 2 Atout Plus Groupe, Noumea and New Caledonia

Keyword(s): Entropy, Multi-agent Systems, Agent Communication Languages.

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

Abstract: Shanon’s entropy has been widely used through different Science fields, as an example, to measure the quantity of information found in a message coming from a source. In real world applications, we need to measure the quality of several crossed information sources. In the specific case of language creation within multi-agent systems, we need to measure the correlation between words and their meanings to evaluate the quality of that language. When sources of information are numerous, we are willing to make correlations between those differents sources. Considering those n sources of information are put together in a matrix having n dimensions, we propose in this paper to extend Shanon’s entropy to measure information quality in R2+ and then in Rn+.

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Paper citation in several formats:
Enee, G. and Collonge, J. (2019). Entropy as a Quality Measure of Correlations between n Information Sources in Multi-agent Systems. In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-350-6; ISSN 2184-433X, SciTePress, pages 281-287. DOI: 10.5220/0007684802810287

@conference{icaart19,
author={G. Enee. and J. Collonge.},
title={Entropy as a Quality Measure of Correlations between n Information Sources in Multi-agent Systems},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2019},
pages={281-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007684802810287},
isbn={978-989-758-350-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Entropy as a Quality Measure of Correlations between n Information Sources in Multi-agent Systems
SN - 978-989-758-350-6
IS - 2184-433X
AU - Enee, G.
AU - Collonge, J.
PY - 2019
SP - 281
EP - 287
DO - 10.5220/0007684802810287
PB - SciTePress