The Multi-Agent Programming Contest 2022 Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not /
The Multi-Agent Programming Contest 2022 Coordinating Agents in a Dynamic World: Agents Follow the Rules, or Not / [electronic resource] :
edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg.
- 1st ed. 2023.
- IX, 195 p. 50 illus., 39 illus. in color. online resource.
- Lecture Notes in Artificial Intelligence, 13997 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 13997 .
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.
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.
9783031387128
10.1007/978-3-031-38712-8 doi
Artificial intelligence.
Multiagent systems.
Software engineering.
Artificial Intelligence.
Multiagent Systems.
Software Engineering.
Q334-342 TA347.A78
006.3
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.
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.
9783031387128
10.1007/978-3-031-38712-8 doi
Artificial intelligence.
Multiagent systems.
Software engineering.
Artificial Intelligence.
Multiagent Systems.
Software Engineering.
Q334-342 TA347.A78
006.3