Agent-Based Artificial Intelligence - Hands-on Lessons Codes (A.Y. 2025/2026)

This repository contains the material developed during the hands-on lessons of the Agent-Based Artificial Intelligence course.

At the moment, the repository includes an initial Python implementation focused on modeling a graph search problem.

Currently Available Contents

At the moment, the repository contains a first implementation of a tree search algorithm, together with the supporting classes and a few simple usage examples.

Note

This repository is still evolving. The sections above describe only the material currently available in the source code.

Contributors

• Tommaso Di Noia
• Alberto Carlo Maria Mancino
• Vincenzo Paparella
• Angela Di Fazio
• Giovanni Servedio
• Camilla Mastromauro (A.Y. 2025/2026)
• Giusy Carotenuto (A.Y. 2025/2026)
• Gabriele Squeo (A.Y. 2025/2026)
• Roberta Armenise (A.Y. 2025/2026)
• Francesco Polieri (A.Y. 2025/2026)
• Matteo Di Maria (A.Y. 2025/2026)
• Antonio Balducci (A.Y. 2025/2026)