Mutual Information and Multi-Agent Systems

We consider the use of Shannon information theory, and its various entropic terms to aid in reaching optimal decisions that should be made in a multi-agent/Team scenario. The methods that we use are to model how various agents interact, including power allocation. Our metric for agents passing infor...

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Detalles Bibliográficos
Autores principales: Moskowitz, Ira S., Rogers, Pi, Russell, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778054/
https://www.ncbi.nlm.nih.gov/pubmed/36554124
http://dx.doi.org/10.3390/e24121719
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author Moskowitz, Ira S.
Rogers, Pi
Russell, Stephen
author_facet Moskowitz, Ira S.
Rogers, Pi
Russell, Stephen
author_sort Moskowitz, Ira S.
collection PubMed
description We consider the use of Shannon information theory, and its various entropic terms to aid in reaching optimal decisions that should be made in a multi-agent/Team scenario. The methods that we use are to model how various agents interact, including power allocation. Our metric for agents passing information are classical Shannon channel capacity. Our results are the mathematical theorems showing how combining agents influences the channel capacity.
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spelling pubmed-97780542022-12-23 Mutual Information and Multi-Agent Systems Moskowitz, Ira S. Rogers, Pi Russell, Stephen Entropy (Basel) Article We consider the use of Shannon information theory, and its various entropic terms to aid in reaching optimal decisions that should be made in a multi-agent/Team scenario. The methods that we use are to model how various agents interact, including power allocation. Our metric for agents passing information are classical Shannon channel capacity. Our results are the mathematical theorems showing how combining agents influences the channel capacity. MDPI 2022-11-24 /pmc/articles/PMC9778054/ /pubmed/36554124 http://dx.doi.org/10.3390/e24121719 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moskowitz, Ira S.
Rogers, Pi
Russell, Stephen
Mutual Information and Multi-Agent Systems
title Mutual Information and Multi-Agent Systems
title_full Mutual Information and Multi-Agent Systems
title_fullStr Mutual Information and Multi-Agent Systems
title_full_unstemmed Mutual Information and Multi-Agent Systems
title_short Mutual Information and Multi-Agent Systems
title_sort mutual information and multi-agent systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778054/
https://www.ncbi.nlm.nih.gov/pubmed/36554124
http://dx.doi.org/10.3390/e24121719
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