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Agent Encapsulation in a Cognitive Vision MAS

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Book cover Multi-Agent Systems and Applications IV (CEEMAS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3690))

Abstract

We cast a baseline cognitive vision design into a multi-agent framework and therein address the questions how and to what extent explicit consideration of coordination may affect the design and performance of such systems. In an analysis of our decomposition into task-dependent entities using both, functional and physical approaches to encapsulation, we show that different kinds of algorithms with different notions of architecture and representation become possible. We describe the evolution of our implementation out of a traditional monolithic design. Functionalities akin to notions of conventional tracking and reasoning now emerge out of the distributed interaction between component agents, with a performance at least on par with the baseline system.

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References

  1. Bianchi, R.A.C., Rillo, A.H.R.C.: A Distributed Control Architecture for a Purposive Computer Vision System. In: Proc. IEEE Intl. Joint Symposia on Intelligence and Systems (IJSIS 1996), pp. 288–294 (1996)

    Google Scholar 

  2. Boissier, O., Demazeau, Y.: A Distributed Artificial Intelligence View on General Purpose Vision Systems. In: Werner, E., Demazeau, Y. (eds.) Decentralized AI 3, pp. 311–330. North-Holland, Amsterdam (1992)

    Google Scholar 

  3. A Research Roadmap of Cognitive Vision. ECVision: The European Research Network for Cognitive Computer Vision Systems (2005) IST–2001–35454. 4.2 11–2–05, http://www.ecvision.org/research_planning/ECVisionRoadmapv4.2.pdf

  4. Graf, T., Knoll, A.: A Multi-Agent System Architecture for Distributed Computer Vision. International Journal of Artificial Intelligence Tools 9(2), 305–319 (2000)

    Article  Google Scholar 

  5. Greaves, M., Holback, H., Bradshaw, J.: What Is a Conversation Policy? In: Bradshaw, J., et al. (eds.) Workshop Notes, ”Specifying and Implementing Conversation Policies”, Third Intl. Conf. on Autonomous Agents (Agents 1999), Seattle WA (1999)

    Google Scholar 

  6. Hayes-Roth, B.: An Architecture for Adaptive Intelligent Systems. Artificial Intelligence 72, 329–365 (1995)

    Article  Google Scholar 

  7. Jennings, N.R.: Coordination Techniques for Distributed Artificial Intelligence. In: O’Hare, G.M.P., Jennings, N.R. (eds.) Foundations of Distributed Artificial Intelligence, pp. 187–210. Wiley, Chichester (1996)

    Google Scholar 

  8. Lesser, V.: Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture. In: AAMAS, vol. 1(1), pp. 89–111. Kluwer Academic Publishers, Dordrecht (1998)

    Google Scholar 

  9. Lesser, V., Erman, L.D.: Distributed Interpretation: A Model and Experiment. IEEE Transactions on Computers 29(12), 1144–1163 (1980)

    Article  Google Scholar 

  10. Marr, D.: Vision. Freeman and Company, New York (1982)

    Google Scholar 

  11. Omicini, A., Ossowski, S.: Objective versus Subjective Coordination in the Engineering of Agent Systems. In: Klusch, M., Bergamaschi, S., Edwards, P., Petta, P. (eds.) Intelligent Information Agents. LNCS (LNAI), vol. 2586, pp. 179–202. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  12. Van Dyke Parunak, H., Baker, A.D., Clark, S.J.: The AARIA Agent Architecture: From Manufacturing Requirements to Agent-Based System Design. Integrated Computer-Aided Engineering 8(1), 45–58 (2001)

    Google Scholar 

  13. Rosin, P.L., Rana, O.F., (eds.): Pattern Recognition. Special Issue on Agent Based Computer Vision 37(4), 627–855 (2004)

    Google Scholar 

  14. Shen, W., Norrie, D.H.: Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey. Knowledge and Information Systems 1(2), 129–156 (1999)

    Google Scholar 

  15. Wong, H., Sycara, K.: A Taxonomy of Middle-Agents for the Internet. In: Durfee, E., et al. (eds.) Proc. 4th Intl. Conf. on MultiAgent Systems (ICMAS 2000), Boston, MA, July 10–12, pp. 465–466. IEEE Press, New York (2000)

    Chapter  Google Scholar 

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Jung, B., Petta, P. (2005). Agent Encapsulation in a Cognitive Vision MAS. In: Pěchouček, M., Petta, P., Varga, L.Z. (eds) Multi-Agent Systems and Applications IV. CEEMAS 2005. Lecture Notes in Computer Science(), vol 3690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559221_6

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  • DOI: https://doi.org/10.1007/11559221_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29046-9

  • Online ISBN: 978-3-540-31731-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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