Open AccessA brief review on Multi-Agent System Approaches and Methodologies
Author(s) -
María-Eugenia Pérez-Pons,
Javier Parra-Domínguez,
Camilo Anzola-Rojas,
Ramón J. Durán Barroso,
Ignacio de Miguel,
Jonas Queiroz,
Paulo Leitão
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.14201/0aq03153547
Subject(s) - computer science , set (abstract data type) , multi agent system , order (exchange) , work (physics) , artificial intelligence , engineering , programming language , mechanical engineering , finance , economics
Agents are understood by definition as entities that interact with their environment and also with other agents. Thus, when two or more agents are able to work together in order to solve a common problem, they form a multi-agent system (MAS). MAS are systems that integrate a set of agents that interact, communicate and coordinate to achieve the established objectives. MAS are designed to meet a set of objectives according to a set of rules and standards. This article briefly summarizes different MAS classifications and methodologies that have been extensively used in the literature.