Advertisement

Knowledge Sharing Between Agents in a Transitioning Organization

  • Eric Matson
  • Raj Bhatnagar
Conference paper
  • 286 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4870)

Abstract

People that interact within a cooperative organization must constantly exchange information on the details of the organization as well as the goals the organization exists to meet. Agent organizations must share knowledge if they are to cooperatively act in the solution of some set of defined goals. The manner in which they share and when they share information varies. In this paper, we present the process to share organization information during the process of transition from one organization state to the next. Some organization models choose to vary the information known between two agents, in relation to the organization. A key element of organization success is that all members operate with the same information so as not to cause divergence in action or purpose.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Albert, L.: Average Case Complexity Analysis of Rete Pattern-match algorithm and Average Size of Join in Databases. Rapports de Reserche, No. 1010. Institut National de Reserche en Informatique and Automatique, Rocquencourt, France (April 1989)Google Scholar
  2. 2.
    Baader, F.: Logic-based Knowledge Representation. In: Veloso, M.M., Wooldridge, M.J. (eds.) Artificial Intelligence Today. LNCS (LNAI), vol. 1600, pp. 13–41. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  3. 3.
    DeLoach, S., Matson, E.: An Organizational Model for Designing Adaptive Multiagent Systems. In: Agent Organizations: Theory and Practice at the National Conference on Artificial Intelligence (AAAI 2004), San Jose, CA (July 25–29, 2004)Google Scholar
  4. 4.
    Dietterich, T.: Learning at the Knowledge Level. In: Machine Learning, vol. 1, pp. 287–316. Kluwer Academic Publishers, Boston (1986)Google Scholar
  5. 5.
    Dignum, V., Dignum, F.: The Knowledge Market: Agent-Mediated Knowledge Sharing. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, Springer, Heidelberg (2003)CrossRefGoogle Scholar
  6. 6.
    Friedman-Hill, E.: JESS in Action: Rule Based Systems in Java. Manning Publications, Inc., Grennwich Connecticut, USA (2003)Google Scholar
  7. 7.
    Forgy, C., Newell, A., Gupta, A.: High-Speed Implementation of Rule-Based Systems. ACM Transactions on Computer Systems 7(2), 119–146 (1989)CrossRefGoogle Scholar
  8. 8.
    Gordon, D., Subramanian, D.: A MultiStrategy Learning Scheme for Agent Knowledge Acquisition. Informatica 17, 4 (1993)Google Scholar
  9. 9.
    Matson, E., DeLoach, S.: Organizational Model for Cooperative and Sustaining Robotic Ecologies. In: Proceedings of Robosphere 2002 Workshop, NASA Ames Research Center, Moffett Field, California (November 14–15, 2002)Google Scholar
  10. 10.
    Matson, E., DeLoach, S.: Formal Transition in Agent Organizations. In: IEEE International Conference on Knowledge Intensive Multiagent Systems (KIMAS 2005), Waltham, MA (April 18–21, 2005)Google Scholar
  11. 11.
    Matson, E., Bhatnagar, R.: Properties of Capability Based Agent Organization Transition. In: 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-2006), Hong Kong (December 18–22, 2006)Google Scholar
  12. 12.
    Rybinski, H., Ryzko, D.: Knowledge Sharing in Default Reasoning-Based Multi-agent Systems. In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2003, pp. 576–579 (October 13–16, 2003)Google Scholar
  13. 13.
    Su, K., Luo, X., Wang, H., Zhang, C., Zhang, S., Chen, Q.: A Logical Framework for Knowledge Sharing in Multi-agent Systems. In: Wang, J. (ed.) COCOON 2001. LNCS, vol. 2108, Springer, Heidelberg (2001)Google Scholar
  14. 14.
    Soller, A., Busetta, P.: An Intelligent Agent Architecture for Facilitating Knowledge Sharing Communication. In: Proceedings of Workshop on Humans and Multi-Agent Systems, International Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, pp. 94–100 (2003)Google Scholar
  15. 15.
    Zhong, C., DeLoach., S.A.: An Investigation of Reorganization Algorithms. In: Proceedings of the International Conference on Artificial Intelligence (IC-AI 2006), Las Vegas, Nevada, CSREA Press (June 2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Eric Matson
    • 1
    • 2
  • Raj Bhatnagar
    • 1
  1. 1.Department of Computer Science and EngineeringWright State UniversityDaytonUSA
  2. 2.Department of Computer ScienceUniversity of CincinnatiCincinnatiUSA

Personalised recommendations