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Exploring Flows in the Intelligent Agent Grid Environment

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Massively Multi-Agent Systems I (MMAS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3446))

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Abstract

The Intelligent Agent Grid Environment is a scalable, live, sustainable and intelligent networking environment where humans, agents, machines and nature can harmoniously co-exist, work and evolve. It automatically collects useful information from nature and society according to requirements, transforms it into resources in the environment, and then after intelligent processing, affects nature and society through machines. According to the regulations and principles of the environment, people, agents and resources can intelligently cooperate with each other to accomplish tasks, generate knowledge and solve problems by actively participating in versatile flow cycles in the environment through roles and machines. The Environment is the unity of the natural material world, virtual world and cognitive world. Various types of attraction in the environment drive the flows. The rules of flows guide the development and management of the environment.

Supported by National Basic Research Program (973 project No. 2003CB317001) and National Science Foundation (Grant No. 60273020 and 70271007) of China.

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References

  1. Adamic, L.A., Huberman, B.A.: Power-Law Distribution of the World Wide Web. Science 287(24), 2115 (2000)

    Article  Google Scholar 

  2. Balakrishnan, H., et al.: Looking Up Data in P2P Systems. Communications of the ACM 46(2), 43–48 (2003)

    Article  Google Scholar 

  3. Barabási, A.L., Albert, R.: Emergence of Scaling in Random Networks. Science 286, 509–512 (1999)

    Article  MathSciNet  Google Scholar 

  4. Berners-Lee, T., Hendler, J., Lassila, O.: Semantic Web. Scientific American 284(5), 34–43 (2001)

    Article  Google Scholar 

  5. Foster, I.: Internet Computing and the Emerging Grid. Nature 408, 6815 (2000), www.nature.com/nature/webmatters/grid/grid.html

    Article  Google Scholar 

  6. Hendler, J.: Agents and the Semantic Web. IEEE Intelligent Systems 16(2), 30–37 (2001)

    Article  Google Scholar 

  7. Kleinberg, J., Lawrence, S.: The Structure of the Web. Science 294(30), 1849–1850 (2001)

    Article  Google Scholar 

  8. O’Leary, D.E.: Enterprise Knowledge Management. Computer 31(3), 54–61 (1998)

    Article  Google Scholar 

  9. Zhuge, H.: A Knowledge Flow Model for Peer-to-Peer Team Knowledge Sharing and Management. Expert Systems with Applications 23(1), 23–30 (2002)

    Article  Google Scholar 

  10. Zhuge, H.: The Knowledge Grid. World Scientific Publishing Co., Singapore (2004)

    Google Scholar 

  11. Zhuge, H.: Toward the Eco-Grid: A Harmoniously Evolved Interconnection Environment. Communications of the ACM 47(9), 79–83 (2004)

    Article  Google Scholar 

  12. Zhuge, H.: Clustering Soft-devices in Semantic Grid. Computing in Science and Engineering 4(6), 60–63 (2002)

    Article  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Hai, Z. (2005). Exploring Flows in the Intelligent Agent Grid Environment. In: Ishida, T., Gasser, L., Nakashima, H. (eds) Massively Multi-Agent Systems I. MMAS 2004. Lecture Notes in Computer Science(), vol 3446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11512073_2

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  • DOI: https://doi.org/10.1007/11512073_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26974-8

  • Online ISBN: 978-3-540-31889-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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