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Modeling the Disorder of Closed System by Multi-Agent Based Simulation

Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the e...

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Autores principales: Małecki, Krzysztof, Gwizdałła, Tomasz M., Bieńko, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514449/
http://dx.doi.org/10.3390/e21111105
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author Małecki, Krzysztof
Gwizdałła, Tomasz M.
Bieńko, Paweł
author_facet Małecki, Krzysztof
Gwizdałła, Tomasz M.
Bieńko, Paweł
author_sort Małecki, Krzysztof
collection PubMed
description Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object.
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spelling pubmed-75144492020-11-09 Modeling the Disorder of Closed System by Multi-Agent Based Simulation Małecki, Krzysztof Gwizdałła, Tomasz M. Bieńko, Paweł Entropy (Basel) Article Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object. MDPI 2019-11-12 /pmc/articles/PMC7514449/ http://dx.doi.org/10.3390/e21111105 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Małecki, Krzysztof
Gwizdałła, Tomasz M.
Bieńko, Paweł
Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title_full Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title_fullStr Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title_full_unstemmed Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title_short Modeling the Disorder of Closed System by Multi-Agent Based Simulation
title_sort modeling the disorder of closed system by multi-agent based simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514449/
http://dx.doi.org/10.3390/e21111105
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