Multi-Agent Programming Contest 2019 FIT BUT Team solution

TL;DR

This paper presents two distinct multi-agent systems developed for the MAPC 2019 competition, one proactive with goal assignment and one reactive with dynamic behavior, demonstrating different approaches to multi-agent coordination.

Contribution

It introduces and compares a proactive goal-oriented system and a reactive layered architecture for multi-agent coordination in competitive scenarios.

Findings

Proactive system assigns goals based on roles and scenarios.

Reactive system employs layered architecture for dynamic decision-making.

Both systems were designed specifically for the MAPC 2019 competition.

Abstract

During our participation in MAPC 2019, we have developed two multi-agent systems that have been designed specifically for this competition. The first of the systems is pro-active system that works with pre-specified scenarios and tasks agents with generated goals designed for individual agents according to assigned role. The second system is designed as more reactive and employs layered architecture with highly dynamic behaviour, where agents select their own action based on their perception of usefulness of said action.