The Multi-Agent Programming Contest 2018 [electronic resource] : Agents Teaming Up in an Urban Environment / edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas.
Contributor(s): Ahlbrecht, Tobias [editor.] | Dix, Jürgen [editor.] | Fiekas, Niklas [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 11957Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: VII, 145 p. 31 illus., 21 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030379599.Subject(s): Artificial intelligence | Computer networks | Computers, Special purpose | Application software | Coding theory | Information theory | Software engineering | Artificial Intelligence | Computer Communication Networks | Special Purpose and Application-Based Systems | Computer and Information Systems Applications | Coding and Information Theory | Software EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineThe 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.
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.
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