Towards simulating billions of agents in thousands of seconds

Building multi-agent 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. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence, Intelligent Agents, Multi agent Systems General Terms Performance, Design, Management, Experimentation Keywords Multi Agent System, Simulation, Distributed Systems, Databases, Scalability

• Type: Conference
• Year: 2007
• Where: ATAL
• Authors: I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapalem
• Keywords: Agent System Framework, ATAL 2007, Intelligent Agents, Massive Multi Agent, Multi Agent System