Centralized approaches have several important drawbacks when employed to solve the resource allocation problem within an agent community. This paper seeks to provide scalable and distributed algorithms to solve this problem, avoiding centralized approach drawbacks. We propose adaptive and “anytime” algorithms which can be applied with any kind of contact network, any range for the utility value...
