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Open AccessEditorial

Special Issue “Multi-Agent Systems”: Editorial

by 1,*,† and 2,†
1
Department of Sciences and Methods of Engineering, Università degli Studi di Modena e Reggio Emilia, 42122 Reggio Emilia, Italy
2
Department of Computer Science and Engineering, Università di Bologna, 47521 Cesena, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2020, 10(15), 5329; https://doi.org/10.3390/app10155329
Received: 16 July 2020 / Accepted: 25 July 2020 / Published: 1 August 2020
(This article belongs to the Special Issue Multi-Agent Systems 2019)
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. View Full-Text
Keywords: multi-agent systems; agent-based modeling; agent-based simulation; decision support multi-agent systems; agent-based modeling; agent-based simulation; decision support
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MDPI and ACS Style

Mariani, S.; Omicini, A. Special Issue “Multi-Agent Systems”: Editorial. Appl. Sci. 2020, 10, 5329. https://doi.org/10.3390/app10155329

AMA Style

Mariani S, Omicini A. Special Issue “Multi-Agent Systems”: Editorial. Applied Sciences. 2020; 10(15):5329. https://doi.org/10.3390/app10155329

Chicago/Turabian Style

Mariani, Stefano; Omicini, Andrea. 2020. "Special Issue “Multi-Agent Systems”: Editorial" Appl. Sci. 10, no. 15: 5329. https://doi.org/10.3390/app10155329

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