Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications
Modern systems often employ decentralised and distributed approaches. This can be attributed, among others, to the increasing complexity of system processes, which go beyond the capabilities of singular components. Additionally, with the growth in demand for system automation and high-level coordina...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10124 |
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| author | Zofia Wrona Maria Ganzha Marcin Paprzycki Wiesław Pawłowski Angelo Ferrando Giacomo Cabri Costin Bădică |
| author_facet | Zofia Wrona Maria Ganzha Marcin Paprzycki Wiesław Pawłowski Angelo Ferrando Giacomo Cabri Costin Bădică |
| author_sort | Zofia Wrona |
| collection | DOAJ |
| description | Modern systems often employ decentralised and distributed approaches. This can be attributed, among others, to the increasing complexity of system processes, which go beyond the capabilities of singular components. Additionally, with the growth in demand for system automation and high-level coordination, solutions belonging to the decentralised Artificial Intelligence and collaborative decision-making are often applied. It can be observed that these concerns fall within the domain of multi-agent systems. However, even though MAS concepts emerged more than 40 years ago, despite their obvious advantages and continuous efforts of the scientific community, agents remain rarely used in industrial-grade applications. In this context, the goal of this contribution is to analyse the reasons for the lack of adoption of agent solutions in the real world. During the analysis, all pertinent aspects of the modern software development life cycle are examined and compared to what is currently available in the agent system domain. Specifically, the study focuses on identifying gaps that are often overlooked when it comes to scientific applications of MAS, but are critical in terms of potential for large-scale system development in practice. |
| format | Article |
| id | doaj-art-52fa7174841e4dcb84bd39a464e3b163 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-52fa7174841e4dcb84bd39a464e3b1632024-11-26T17:47:33ZengMDPI AGApplied Sciences2076-34172024-11-0114221012410.3390/app142210124Comparison of Multi-Agent Platform Usability for Industrial-Grade ApplicationsZofia Wrona0Maria Ganzha1Marcin Paprzycki2Wiesław Pawłowski3Angelo Ferrando4Giacomo Cabri5Costin Bădică6Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, PolandFaculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, PolandSystems Research Institute, Polish Academy of Sciences, 01-447 Warsaw, PolandFaculty of Mathematics, Physics and Informatics, University of Gdańsk, 80-952 Gdańsk, PolandDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, ItalyDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, 41125 Modena, ItalyDepartment of Computers and Information Technology, University of Craiova, 20776 Craiova, RomaniaModern systems often employ decentralised and distributed approaches. This can be attributed, among others, to the increasing complexity of system processes, which go beyond the capabilities of singular components. Additionally, with the growth in demand for system automation and high-level coordination, solutions belonging to the decentralised Artificial Intelligence and collaborative decision-making are often applied. It can be observed that these concerns fall within the domain of multi-agent systems. However, even though MAS concepts emerged more than 40 years ago, despite their obvious advantages and continuous efforts of the scientific community, agents remain rarely used in industrial-grade applications. In this context, the goal of this contribution is to analyse the reasons for the lack of adoption of agent solutions in the real world. During the analysis, all pertinent aspects of the modern software development life cycle are examined and compared to what is currently available in the agent system domain. Specifically, the study focuses on identifying gaps that are often overlooked when it comes to scientific applications of MAS, but are critical in terms of potential for large-scale system development in practice.https://www.mdpi.com/2076-3417/14/22/10124agent systemsindustrial-grade systemsagent orientedsoftware engineeringSDLC |
| spellingShingle | Zofia Wrona Maria Ganzha Marcin Paprzycki Wiesław Pawłowski Angelo Ferrando Giacomo Cabri Costin Bădică Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications Applied Sciences agent systems industrial-grade systems agent oriented software engineering SDLC |
| title | Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications |
| title_full | Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications |
| title_fullStr | Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications |
| title_full_unstemmed | Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications |
| title_short | Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications |
| title_sort | comparison of multi agent platform usability for industrial grade applications |
| topic | agent systems industrial-grade systems agent oriented software engineering SDLC |
| url | https://www.mdpi.com/2076-3417/14/22/10124 |
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