sommario
This project aims to develop a simplified version of the game Fat Princess, where two teams of agents with different roles and specific abilities compete to rescue their princess while protecting their own, within a shared environment. The environment models base layouts, resource locations, and agent states (e.g., health, positions, and tasks) to facilitate strategic interactions. The overall gameplay is governed by fixed rules with the possibility of dynamic variations based on the game state, adding complexity and adaptability to the system. Our work provides a platform to explore the dynamics of cooperation and competition in multi-agent systems: by assigning agents distinct roles and objectives, it enables the analysis of emergent behaviors and decision-making processes in controlled scenarios. This approach also facilitates a deeper understanding of role-based collaboration, studying how agents with complementary capabilities can work together to achieve shared goals.
prodotti
