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Temporal planning in dynamic environments for mobile agents

Published:16 December 2009Publication History

ABSTRACT

In this thesis we intend to propose and implement a planning based enhancement of the agent oriented programming language CLAIM, in which an agent is an intelligent and mobile entity. This new language which is called P-CLAIM, should have the following characteristics. Firstly, temporal planning capability for the agents. Secondly, the agents should be able to work in a stable manner in the changing environment. Thirdly, a balance should exist between reactivity and proactivity. Fourthly, the agents' actions should not conflict with the actions of other agents in the same environment and the agents should avail the cooperative oppurtunities offered by other agents and they themselves should be able to help other agents where possible.

References

  1. H. M. Adnan. A Planning Component for CLAIM Agents. In To appear in the Proceedings of International Workshop On Multi-Agent Systems Technology and Semantics. Romania, May 2009.Google ScholarGoogle Scholar
  2. P. Busetta, R. Ronnquist, A. Hodgson, and A. Lucas. Jack intelligent agents-components for intelligent agents in java. AgentLink News Letter, 2:2--5, 1999.Google ScholarGoogle Scholar
  3. L. de Silva and L. Padgham. Planning on demand in BDI systems. Proc. of ICAPS-05 (Poster), 2005.Google ScholarGoogle Scholar
  4. M. De Weerdt, A. Ter Mors, and C. Witteveen. Multi-agent planning: An introduction to planning and coordination. Handouts of the European Agent Summer School, pages 1--32, 2005.Google ScholarGoogle Scholar
  5. A. El Fallah-Seghrouchni and A. Suna. An unified framework for programming autonomous, intelligent and mobile agents. Lecture notes in computer science, Springer, pages 353--362, 2003.Google ScholarGoogle Scholar
  6. M. Georgeff and A. Lansky. Procedural knowledge. Proceedings of the IEEE, Special Issue on Knowledge Representation, 74(10):1383--1398, 1986.Google ScholarGoogle ScholarCross RefCross Ref
  7. H. Kautz, B. Selman, and J. Hoffmann. Satplan: Planning as satisfiability. In 5th International Planning Competition. Citeseer, 2006.Google ScholarGoogle Scholar
  8. F. Meneguzzi, A. Zorzo, and M. da Costa Mora. Propositional planning in BDI agents. In Proceedings of the 2004 ACM symposium on Applied computing, pages 58--63. ACM New York, NY, USA, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. Myers, L. Wesley, and A. Center. CYPRESS: Reacting and Planning under Uncertainty. In DARPA Proceedings: Rome Laboratory Planning Initiative, page 111. Morgan Kaufmann, 1994.Google ScholarGoogle Scholar
  10. D. Nau, T. Au, O. Ilghami, U. Kuter, J. Murdock, D. Wu, and F. Yaman. SHOP2: An HTN planning system. Journal of Artificial Intelligence Research, 20(1):379--404, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. D. Nau, Y. Cao, A. Lotem, and H. Muñoz-Avila. SHOP: Simple hierarchical ordered planner. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence table of contents, pages 968--975. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M. Paolucci, O. Shehory, K. Sycara, D. Kalp, and A. Pannu. A planning component for RETSINA agents. Lecture notes in computer science, Springer, pages 147--161, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. P. Tarau. Jinni: Intelligent mobile agent programming at the intersection of Java and Prolog. In Proc. of PAAM, volume 99, pages 109--123, 1999.Google ScholarGoogle Scholar
  14. D. Weld. Recent advances in AI planning. AI magazine, 20(2):93--123, 1999.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. D. Wilkins. Can AI planners solve practical problems? Computational Intelligence, 6(4):232--246, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Temporal planning in dynamic environments for mobile agents

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    • Published in

      cover image ACM Other conferences
      FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology
      December 2009
      446 pages
      ISBN:9781605586427
      DOI:10.1145/1838002

      Copyright © 2009 ACM

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      New York, NY, United States

      Publication History

      • Published: 16 December 2009

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