Knowledge in asynchronous social group communication

Abstract

Multi-agent systems are one of many modern distributed approaches to decision, optimization and other problem solving. Among others, multi-agent systems have been often used for prediction, but those approaches require a supervisor agent for integrating the knowledge of other agents. In this paper we discuss the shortcomings of such approach and propose a switch to decentralized groups of agents with asynchronous communications. We show that this approach may obtain similar results, while avoiding the pitfalls of centralized architecture.