The Multi-Agent Programming Contest 2018: Agents Teaming Up in an Urban Environment
Author:   Tobias Ahlbrecht ,  Jürgen Dix ,  Niklas Fiekas
Publisher:   Springer Nature Switzerland AG
Edition:   2019 ed.
Volume:   11957
ISBN:  

9783030379582


Pages:   145
Publication Date:   31 January 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The Multi-Agent Programming Contest 2018: Agents Teaming Up in an Urban Environment


Overview

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.

Full Product Details

Author:   Tobias Ahlbrecht ,  Jürgen Dix ,  Niklas Fiekas
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2019 ed.
Volume:   11957
Weight:   0.454kg
ISBN:  

9783030379582


ISBN 10:   3030379582
Pages:   145
Publication Date:   31 January 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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