A Gossip-based Opinion Diffusion Model via Uninorm Aggregation Operator

Gossip-based protocols for group communication have attractive scalability and reliability properties. In this paper, we extend our previous work: a gossip-based protocol that enables agents to reach a consensus based on a special uninorm aggregation operator. We theoretically analyze the convergence and the randomness features of the extensions. The extended models can be more flexible in demonstrating the uncertainty and the convergence characteristics of collective decision dynamics.