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CORBA-Based Analysis of Multi Agent Behavior

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Abstract

An agent is a computer software that is capable of taking independent action on behalf of its user or owner. It is an entity with goals, actions and domain knowledge, situated in an environment. Multiagent systems comprises of multiple autonomous, interacting computer software, or agents. These systems can successfully emulate the entities active in a distributed environment. The analysis of multiagent behavior has been studied in this paper based on a specific board game problem similar to the famous problem of GO. In this paper a framework is developed to define the states of the multiagent entities and measure the convergence metrics for this problem. An analysis of the changes of states leading to the goal state is also made. We support our study of multiagent behavior by simulations based on a CORBA framework in order to substantiate our findings.

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References

  1. Ghosh S. Cooperating mobile agents and stabilization. LNCS 2194, 2001, pp. 242–251.

  2. Ghosh S. Agents distributed algorithms and stabilization. LNCS 1858, 2000, pp. 1–18.

  3. Magedanz T, Rothermel K, Krause S. Intelligent agents: An emerging technology for next generation telecommunications? INFOCOM’96, 1996, pp. 464–472.

  4. Daniel R Kunkel. The game of GO and multiagent systems. College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, 14623, 1992.

    Google Scholar 

  5. Martin Müller. Game theories and computer GO. In Proc. the GO and Computer Science Workshop (GCSW’93), Sophia-Antipolis, 1993.

  6. Bouzy B, Cazenave T. Shared concepts between complex domains and the game of GO. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Massachussetts, 1999. http://citeseer.nj.nec.com/62244.html

  7. Ian F Akyildiz, Weilian Su, Sankarasubramaniam Y, Erdal Cayirci. A survey on sensor networks. IEEE Commun. Mag., August, 2002, 40(8): 102–114.

    Google Scholar 

  8. Saha D, Mukherjee A. Pervasive computing: A Paradigm for the 21st century. IEEE Computer Mag., March, 2003, 36(3): 25–31.

    Google Scholar 

  9. Tony White, Andrzej Bieszczad, Bernard Pagurek. Distributed fault location in networks using mobile agents. In Proc. the Second International Workshop on Agents in Telecommunications Applications (IATA’98), Springer-Verlag, Berlin, July 4–7, 1998, pp. 130–141.

  10. Stefan Funfrocken. Transparent migration of JAVA based multiagents. Department of Computer Science, Darmstadt University of Technology, 1998.

  11. Hurst L, Cunnigham P, Somers F. Mobile Agents — Smart Messages. Broadcom Éireann Ltd., Dublin, Ireland, 1997.

    Google Scholar 

  12. Caprini M, Nacasch R, Qian Z. Java Mobile Agent for monitoring task: Evaluation report, Atlas DAQ, 1998.

  13. Elizabeth A Kendall, P V Murali Krishna, Chirag V Pathak, C B Suresh. A Java application framework for agent based systems. Computer Systems Engineering Royal Melbourne Institute of Technology, Melbourne, Australia, 2000.

    Google Scholar 

  14. Seng Wai Loke. Mobile agent technology for enterprise distributed applications: An overview and an architectural perspective, Monash University, Australia, 1999.

    Google Scholar 

  15. Aniruddha S Gokhale, Douglas C Schmidt. Evaluating CORBA latency and scalability over high-speed ATM networks. In Proc. ICDCS’97, May, 1997.

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Correspondence to Swapan Bhattacharya.

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Swapan Bhattacharya is presently a faculty member in the Department of Computer Science & Engg., Jadavpur University, Kolkata, India. He received his Ph.D. degree in computer science in 1991 from University of Calcutta, India. His areas of research interests are distributed computing and software engineering. He had received Young Scientist Award from UNESCO in 1989. As a Sr. Research Associate of National Research Council, USA he had also served as the coordinator of Ph.D. program in software engg. in Naval Postgraduate School, Monterey, CA during 1999–2001. He has published about 100 research papers in various international platforms. He is also actively involved in organizing international conferences on software engineering and distributed computing.

Anirban Banerjee is currently a graduate student at the University of California, Riverside, USA. He has completed his Bachelor in technology in information technology from Indian Institute of Information Technology, Calcutta in 2004. His current project deals with implementing IEEE 802.15.4 based ZigBee protocols on the TinyOS based stack and Crossbow Mica/2/dot nodes as well as the ChipCon 1010 platform. His interests lie in embedded sensor systems and wireless architectures for such systems.

Shibdas Bandyopadhyay is currently a graduate student at Indian Statistical Institute, India. He has completed his Bachelor in technology in information technology from Indian Institute of Information Technology, Calcutta in 2004. His current interest lies in multiagent systems, embedded system development and high performance computing.

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Bhattacharya, S., Banerjee, A. & Bandyopadhyay, S. CORBA-Based Analysis of Multi Agent Behavior. J Comput Sci Technol 20, 118–124 (2005). https://doi.org/10.1007/s11390-005-0013-5

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  • DOI: https://doi.org/10.1007/s11390-005-0013-5

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