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Architectural Design for Multi-Agent Simulation System

Architectural Design for Multi-Agent Simulation System. Presented by: Ameya A. Velankar. Outline. Introduction to Multi-Agent Systems The DIVAS Project Architectural Design of DIVAS Framework DIVAS Social World DIVAS Environment Architecture DIVAS Agent Architecture Conclusion .

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Architectural Design for Multi-Agent Simulation System

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  1. Architectural Design for Multi-Agent Simulation System Presented by: Ameya A. Velankar

  2. Outline • Introduction to Multi-Agent Systems • The DIVAS Project • Architectural Design of DIVAS Framework • DIVAS Social World • DIVAS Environment Architecture • DIVAS Agent Architecture • Conclusion

  3. Multi-Agent Systems (MAS) • MAS is the New generation architectural design paradigm • Characteristics of MAS are • Decentralized system • No central control unit • Basic entities: agent and environment • Co-operative, collaborative processing • Standardization effort • Foundation for Intelligent Physical Agents (FIPA) • Object Management Group (OMG)

  4. What is an “Agent”? • Agent • Is an autonomous software entity • has objectives to satisfy • possesses skills and can offer services • possesses resources of its own • can communicate, cooperate, coordinate and negotiate directly with other agents • acts in an environment that is partially perceived

  5. The DIVAS project DIVAS (Dynamic Information Visualization of Agent Systems) is a framework used for the development, visualization and simulation of large scale distributed multi-agent systems.

  6. Architectural Design of DIVAS Project Visualization Framework User interface Prediction System: Xtractis Topographic Function Explanatory Function 2D Visualization Tool 3D Visualization Tool Predictive Function Data Management System Agent Clustering Tool DIVAS Agent-Environment System Publisher/Subscriber Messaging Service Agent Management System Environment Management System 2D Location Graph Agent1 … Agentn … Cell1 Celln Agent – Agent Message Transport Service Env - Env Message Trasport System Agent - Environment Message Transport Service

  7. DIVAS Social World

  8. The DIVAS Environment Architecture

  9. The DIVAS Agent Architecture

  10. Conclusion Design Quality Attributes of DIVAS Architecture • Internal Attributes • Correctness and completeness • High cohesion and low coupling • External Attributes • Generality • Reusability • Plug-n-play

  11. References • R. Mili, G. Leask, R. Steiner, and E. Oladimeji, “Architecture and Design Viewpoints for Agent-Environment Systems,” Environments for Multi-Agent Systems, Proceedings E4MAS’04, AAMAS Conference, New York, July 2004, Technical Report UTDCS-43-04, The University of Texas at Dallas, November 2004. • R. Steiner, G. Leask and R. Z. Mili, “ An Architecture for MAS Simulation Environments,“ Environments for Multi-Agent Systems, E4MAS’05, accepted AAMAS Conference, Utrecht, Netherlands, July 2005. • E. A. Oladimeji, R. Z. Mili, and U. Shakya, “Towards an Abstract Agent Architecture for MAS Simulation Systems,” Agent-Oriented Software Engineering, AOSE-2005, AAMAS Conference, July 2005. • R. Z. Mili, E. Oladimeji, and R. Steiner, “Design of the DIVAS Simulation Systems,” Multi-Agent-Based Simulation, MABS ’05, AAMAS Conference, July 2005.

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