A succinct representation scheme for cooperative games under uncertaintyA succinct representation scheme for cooperative games under uncertainty Αφίσα σε Συνέδριο Conference Poster 2023-07-132021enSupported by projects AI4EU (H2020-825619), 2019DI17; and Enzyme Advising Group.In this work we present a novel succinct representation for large partially observed cooperative games. The proposed representation exploits estimates over marginal contributions to form compact rules representing collaboration patterns with uncertain value. Specifically, given an initial set of MC-nets rules that use prior beliefs over values instead of the actual ones, we propose two types of merging that lead to a new set of even more compact rules.http://creativecommons.org/licenses/by/4.0/1661–166320th International Conference on Autonomous Agents and Multiagent SystemsProceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems Streviniotis Errikos Στρεβινιωτης Ερρικος Georgara Athina Γεωργαρα Αθηνα Chalkiadakis Georgios Χαλκιαδακης Γεωργιος International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) Coalitional games representation MC nets Uncertainty