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ATAL
2007
Springer

Towards simulating billions of agents in thousands of seconds

9 years 5 months ago
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
I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapa
Added 12 Aug 2010
Updated 12 Aug 2010
Type Conference
Year 2007
Where ATAL
Authors I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapalem
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