Special Issue “Multi-Agent Systems”: Editorial
Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change. In doing so, they leverage on their social and situated capabilities: i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/15/5329 |
| _version_ | 1797560610701967360 |
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| author | Stefano Mariani Andrea Omicini |
| author_facet | Stefano Mariani Andrea Omicini |
| author_sort | Stefano Mariani |
| collection | DOAJ |
| description | Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change. In doing so, they leverage on their social and situated capabilities: interacting with peers, and perceiving/acting on the environment. The relevance of MAS is steadily growing as they are extensively and increasingly used to model, simulate, and build heterogeneous systems across many different application scenarios and business domains, ranging from logistics to social sciences, from robotics to supply chain, and more. The reason behind such a widespread and diverse adoption lies in MAS great expressive power in modeling and actually supporting operational execution of a variety of systems demanding decentralized computations, reasoning skills, and adaptiveness to change, which are a perfect fit for MAS central notions introduced above. This special issue gathers 11 contributions sampling the many diverse advancements that are currently ongoing in the MAS field. |
| first_indexed | 2024-03-10T18:02:09Z |
| format | Article |
| id | doaj.art-5f11974518124901bb5af43e6efe5ce6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T18:02:09Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5f11974518124901bb5af43e6efe5ce62023-11-20T08:45:09ZengMDPI AGApplied Sciences2076-34172020-08-011015532910.3390/app10155329Special Issue “Multi-Agent Systems”: EditorialStefano Mariani0Andrea Omicini1Department of Sciences and Methods of Engineering, Università degli Studi di Modena e Reggio Emilia, 42122 Reggio Emilia, ItalyDepartment of Computer Science and Engineering, Università di Bologna, 47521 Cesena, ItalyMulti-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change. In doing so, they leverage on their social and situated capabilities: interacting with peers, and perceiving/acting on the environment. The relevance of MAS is steadily growing as they are extensively and increasingly used to model, simulate, and build heterogeneous systems across many different application scenarios and business domains, ranging from logistics to social sciences, from robotics to supply chain, and more. The reason behind such a widespread and diverse adoption lies in MAS great expressive power in modeling and actually supporting operational execution of a variety of systems demanding decentralized computations, reasoning skills, and adaptiveness to change, which are a perfect fit for MAS central notions introduced above. This special issue gathers 11 contributions sampling the many diverse advancements that are currently ongoing in the MAS field.https://www.mdpi.com/2076-3417/10/15/5329multi-agent systemsagent-based modelingagent-based simulationdecision support |
| spellingShingle | Stefano Mariani Andrea Omicini Special Issue “Multi-Agent Systems”: Editorial Applied Sciences multi-agent systems agent-based modeling agent-based simulation decision support |
| title | Special Issue “Multi-Agent Systems”: Editorial |
| title_full | Special Issue “Multi-Agent Systems”: Editorial |
| title_fullStr | Special Issue “Multi-Agent Systems”: Editorial |
| title_full_unstemmed | Special Issue “Multi-Agent Systems”: Editorial |
| title_short | Special Issue “Multi-Agent Systems”: Editorial |
| title_sort | special issue multi agent systems editorial |
| topic | multi-agent systems agent-based modeling agent-based simulation decision support |
| url | https://www.mdpi.com/2076-3417/10/15/5329 |
| work_keys_str_mv | AT stefanomariani specialissuemultiagentsystemseditorial AT andreaomicini specialissuemultiagentsystemseditorial |