Multi-agent multi-mode composite task allocation problem (MACTA) instances

<strong>Contents</strong> This repository contains all the instances of Multi-agent multi-mode composite task allocation problem (MACTA) used in the AAMAS paper [Picard, 2023]. Instances are provided as json files (one per instance), following the provided schema (see <code>macta_schema.json</code>). Files are contained in subdirectories following the <code>&lt;n&gt;_modes/&lt;m&gt;_requests_per_user/instance_&lt;i&gt;.json</code> pattern, where <code>&lt;n&gt;</code> is the number of modes per requests (1 or 5), <code>&lt;m&gt;</code> is the number of requests per user (between 2 and 30 by step of 2), and <code>&lt;i&gt;</code> is the instance number. <strong>Acknowledgements</strong> This work has been performed with the support of the French government in the context of the "Programme d'Invertissements d'Avenir", namely by the BPI PSPC LiChIE project (Lion Chaine Image Elargie), coordinated by Airbus Defence and Space. <strong>References</strong> Picard, G. (2023). Multi-agent consensus-based bundle allocation for multi-mode composite tasks. In <em>International Conference on Autonomous Agents and Multiagent Systems (AAMAS-23)</em>. IFAAMAS.