A brief review on multi-agent system approaches and methodologies

  1. María-Eugenia Pérez-Pons 1
  2. Javier Parra-Dominguez 1
  3. Camilo Anzola-Rojas 2
  4. Ramón J. Durán Barroso 2
  5. Ignacio de Miguel
  6. Jonas Queiroz 3
  7. Paulo Leitao 3
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  3. 3 Instituto Politécnico de Bragança
    info

    Instituto Politécnico de Bragança

    Bragança, Portugal

    ROR https://ror.org/00prsav78

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Libro:
Proceedings of the IV Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation: 18th June 2021 Online
  1. Carlos Ramos (coord.)
  2. Goreti Marreiros (coord.)
  3. Javier Parra Domínguez (coord.)

Editorial: Ediciones Universidad de Salamanca ; Universidad de Salamanca

ISBN: 978-84-1311-582-5

Año de publicación: 2022

Páginas: 35-47

Congreso: Workshop on disruptive information and communication technologies for innovation and digital transformation (4. 2021. Oporto)

Tipo: Aportación congreso

DOI: 10.14201/0AQ03153547 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

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.

Fuente de los datos: Dialnet