The Multi-Agent Programming Contest 2018: Agents Teaming Up in an Urban Environment (Lecture Notes in Computer Science, 11957)

✍ Scribed by Tobias Ahlbrecht (editor), Jürgen Dix (editor), Niklas Fiekas (editor)

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 151
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Preface
Organization
Contents
The Contest
The Multi-Agent Programming Contest 2018 - A Third Time in the City
1 Introduction
1.1 Related Work
2 MAPC 2016 to 2018: Evolution of the City Scenario
2.1 Items
2.2 Jobs
2.3 Agents and Roles
2.4 Percepts
2.5 Actions and Facilities
2.6 Winning
2.7 Evolution of the Scenario
3 The Tournament
3.1 Simulation Setup
3.2 Participants and Results
3.3 The Teams and Their Agents
3.4 Errors and Stability
4 Interesting Simulation
4.1 Jason-DTU vs. SMART_JaCaMo Simulation 2 of 3
5 Conclusion and Outlook
5.1 Suggestions by the Teams
5.2 Contest Rules
5.3 Plans for the Future
References
The Teams
A Task-Oriented Architecture with Priority Queue for BDI Agents Applied to the Multi Agent Programming Contest Scenario
1 Introduction
2 Related Works
3 Akuanduba-UDESC 2018
4 Infrastructure and Environment
5 Tasks Manager
6 Tasks Planning
7 Exceptions
8 Results
A Team Overview: Short Answers
A.1 Participants and Their Background
A.2 Development
A.3 System Details
A.4 Scenario and Strategy
A.5 And the Moral of it is ...
A.6 The Future of the MAPC
References
Multi-Agent Programming Contest 2018—The Jason-DTU Team
1 Introduction
2 System Analysis and Design
2.1 Remarks
2.2 Software Architecture
2.3 Main Algorithms
3 Evaluation
3.1 Strengths of Our Agent Team
3.2 Weaknesses of Our Agent Team
3.3 On the Choice of Programming Language and Frameworks
3.4 Matches
4 Conclusion
A Team Overview: Short Answers
A.1 Participants and Their Background
A.2 Development
A.3 System Details
A.4 Scenario and Strategy
A.5 Discussion
A.6 The Future of the MAPC
References
SMART–JaCaMo: An Organisation-Based Team for the Multi-Agent Programming Contest
1 Introduction
2 Software Architecture
2.1 Jason
2.2 CArtAgO
2.3 Moise
3 Programming Agent Behaviour
3.1 Exploring
3.2 Build
3.3 Attack
3.4 Defence
3.5 Gather
3.6 Assemble
3.7 Delivery
4 Team Strategies
4.1 Reasoning Engine
4.2 Battery Management
4.3 Centre Facilities
4.4 Gathering
4.5 Upgrades
4.6 Building Wells
4.7 Attacking
4.8 Items Management
4.9 Delivering Jobs
4.10 Changing the Round
5 Match Analysis
5.1 SMART_JaCaMo x Jason-DTU
5.2 SMART_JaCaMo x Dumping to Gather
5.3 SMART_JaCaMo x TUBDAI
6 Team Overview: Short Answers
6.1 Participants and Their Background
6.2 Development
6.3 System Details
6.4 Scenario and Strategy
6.5 And the Moral of It Is ...
6.6 The Future of the MAPC
7 Conclusion
References
Distributed Decision-Making Based on Shared Knowledge in the Multi-Agent Programming Contest
1 Introduction
2 Knowledge Base: Sharing Information in a Hybrid Behaviour Network
3 MAPC Strategy
4 Application Architecture
5 Behaviour Model
6 Evaluation
7 Conclusion
1 Team Overview: Short Answers
1.1 Participants and Their Background
1.2 Development
1.3 System Details
1.4 Scenario and Strategy
1.5 And the Moral of It Is ...
1.6 The Future of the MAPC
References
ROS Hybrid Behaviour Planner: Behaviour Hierarchies and Self-organisation in the Multi-Agent Programming Contest
1 Introduction
2 MAPC 2018 Challenges
3 Strategy
4 Architecture
5 Coordination
5.1 Contract Net
5.2 Self-organisation
6 RHBP Behaviour Model
7 Evaluation
7.1 Jason-DTU
7.2 Akuanduba-UDESC
7.3 Dumping to Gather
7.4 SMART_JaCaMo
7.5 Discussion
8 Conclusion
1 Team Overview: Short Answers
1.1 Participants and Their Background
1.2 Development
1.3 System Details
1.4 Scenario and Strategy
1.5 And the Moral of It Is ...
1.6 The Future of the MAPC
References
Correction to: The Multi-Agent Programming Contest 2018 - A Third Time in the City
Correction to: Chapter “The Multi-Agent Programming Contest 2018 - A Third Time in the City” in: T. Ahlbrecht et al. (Eds.): The Multi-Agent Programming Contest 2018, LNAI 11957, https://doi.org/10.1007/978-3-030-37959-9_1
Author Index