Stability of Knowledge-Sharing Alliances in Distributed Computing Systems: An Evolutionary Game Theory Approach

In this paper, evolutionary game theory is used to study the boundary conditions of different stable states of knowledge alliances in distributed computing environments and the specific factors that influence the evolution of unstable alliances. The paper demonstrates the symbiotic relationship between members of a knowledge alliance and the applicability of evolutionary game methods, defines the boundary conditions of three different states of knowledge alliances (stable, unstable and dissolved), and reveals the determinants that lead unstable alliances to reach a stable state. This research provides a reference for the development of better distributed computing systems.