GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest
Alexander Birch Jensen, J{\o}rgen Villadsen
TL;DR
This paper presents GOAL-DTU, a system for multi-agent programming in contests, detailing its design, strategy, performance evaluation, and potential improvements.
Contribution
It introduces a novel multi-agent system using GOAL for contest environments, with performance analysis and insights for future enhancements.
Findings
Agents demonstrated competitive performance in the contest.
Analysis identified key strengths and weaknesses of the system.
Proposed improvements aim to enhance agent effectiveness.
Abstract
We provide a brief description of the GOAL-DTU system for the agent contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluate the performance of our agents for the contest, and finally also discuss how to improve the system based on analysis of its strengths and weaknesses.
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