DCOP algorithms usually rely on interaction graphs to operate. In open and dynamic environments, such methods need to address how this interaction graph is generated and maintained among agents. Existing methods require reconstructing the entire graph upon detecting changes in the environment or assuming that new agents know potential neighbors to facilitate connection. We propose a novel distributed interaction graph construction algorithm to address this problem. The proposed method does not assume a predefined constraint graph and stabilizes after disruptive changes in the environment. We evaluate our approach by pairing it with existing DCOP algorithms to solve several generated dynamic problems. The experiment results show that the proposed algorithm effectively constructs and maintains a stable multi-agent interaction graph for open and dynamic environments.
翻译:DCOP 算法通常依靠互动图来运作。 在开放和动态环境中, 此类方法需要解决该互动图是如何生成和保持的。 现有方法要求通过检测环境变化或假设新代理商了解潜在邻居以方便连接来重建整张图表。 我们提出一个新的分布式互动图构建算法来解决这一问题。 拟议的方法不假定预先定义的制约图, 并且在环境发生干扰性变化后稳定下来。 我们通过将它与现有的 DCOP 算法配对, 来解决若干产生的动态问题来评估我们的方法。 实验结果显示, 拟议的算法为开放和动态环境有效地构建并维持一个稳定的多剂互动图 。