1.

Record Nr.

UNINA9910370258603321

Titolo

The Multi-Agent Programming Contest 2018 : Agents Teaming Up in an Urban Environment / / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-37959-0

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (VII, 145 p. 31 illus., 21 illus. in color.)

Collana

Lecture Notes in Artificial Intelligence ; ; 11957

Disciplina

006.3

Soggetti

Artificial intelligence

Computer communication systems

Special purpose computers

Application software

Coding theory

Information theory

Software engineering

Artificial Intelligence

Computer Communication Networks

Special Purpose and Application-Based Systems

Information Systems Applications (incl. Internet)

Coding and Information Theory

Software Engineering/Programming and Operating Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

The Contest -- The Multi-Agent Programming Contest 2018 - A third time in the city -- The Teams -- task-oriented architecture with priority queue for BDI agents applied to the Multi Agent Programming Contest scenario -- Multi-Agent Programming Contest 2018 - The Jason-DTU Team -- SMART-JaCaMo: an Organisation-Based Team for the Multi-Agent Programming Contest -- Distributed Decision-Making based on Shared Knowledge in the Multi-Agent Programming Contest -- ROS Hybrid Behaviour Planner: Behaviour Hierarchies and Self-



Organisation in the Multi-Agent Programming Contest.

Sommario/riassunto

This book constitutes the 13th edition of the annual Multi-Agent Programming Contest, MAPC 2018, and presents its participants. The 2018 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.