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The Multi-Agent Programming Contest 2022 : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg



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Titolo: The Multi-Agent Programming Contest 2022 : Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (203 pages)
Disciplina: 006.3
006.30285436
Soggetto topico: Artificial intelligence
Multiagent systems
Software engineering
Artificial Intelligence
Multiagent Systems
Software Engineering
Persona (resp. second.): AhlbrechtTobias
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: The MAPC 2022 - Background, realization & outcomes -- The Multi-Agent Programming Contest 2022 -- Optimization-based Agents in the 16th Multi-Agent Programming Contest -- The contestants and their agents -- MMD: The Block Building Agent Team with Explainable Intentions -- GOALdigger-AIG-Hagen Multi-Agent System: Team Description -- General deSouches commands multi-agent army for performing in Agents Assemble III scenario: FIT-BUT at MAPC 2022 -- The 16th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- LI(A)RA Team - A Declarative and Distributed Implementation for the MAPC 2022.
Sommario/riassunto: This book constitutes the 16th edition of the annual Multi-Agent Programming Contest, MAPC 2022. It gives an overview of the competition, describes the current scenario. The first paper describes the contest in general and this edition in particular, focusing on the organizers’ observations. The following papers are written by the participants of the contest, describing their team of agents and its performance in more detail.
Titolo autorizzato: The multi-agent programming contest 2022  Visualizza cluster
ISBN: 3-031-38712-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910741163803321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13997