Towards simulating billions of agents in thousands of seconds

Building multiagent systems that can scale up to very large number of agents is a challenging research problem. In this paper, we present Distributed Multi Agent System Framework (DMASF), a system which can simulate billions of agents in thousands of seconds. DMASF utilizes distributed computation to gain performance as well as a database to manage the agent and environment state. We briefly present the design and implementation of DMASF and present experimental results. DMASF is a generic and versatile tool that can be used for building massive multi agent system applications.