Coalition Structure Generation

Coalition structure generation (CSG) aims to optimally partition agents into groups (coalitions) to maximize overall benefit, a computationally challenging problem with applications in diverse fields like robotics and resource allocation. Current research focuses on developing faster and more scalable algorithms, including those leveraging dynamic programming, graph-based search, and even quantum computing approaches to tackle the inherent NP-hardness of the problem. These advancements are improving the efficiency and applicability of CSG to larger-scale, real-world scenarios, particularly in domains requiring near real-time solutions like multi-robot coordination and dynamic task assignment in communication networks.