Solving Cooperative Reliability Games
Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz

TL;DR
This paper introduces the reliability extension of cooperative games, accounting for agent failures, and explores solution concepts like the Shapley value and core stability, with methods for approximation and conditions for stability enhancement.
Contribution
It proposes the reliability extension model for cooperative games, providing algorithms for approximating the Shapley value and computing the core, and shows how reliability can stabilize the game.
Findings
Approximate Shapley value in reliability games
Core computation for few agent types
Reliability extension can stabilize games
Abstract
Cooperative games model the allocation of profit from joint actions, following considerations such as stability and fairness. We propose the reliability extension of such games, where agents may fail to participate in the game. In the reliability extension, each agent only "survives" with a certain probability, and a coalition's value is the probability that its surviving members would be a winning coalition in the base game. We study prominent solution concepts in such games, showing how to approximate the Shapley value and how to compute the core in games with few agent types. We also show that applying the reliability extension may stabilize the game, making the core non-empty even when the base game has an empty core.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications · Game Theory and Applications
