Strategic Multi-Personal-Agent Interaction

  • Aizhong (Alan) Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2132)


A multi-personal-agent system — EPMPAS (Emergent Process Multi-Personal-Agent System) --- is built for emergent process management in a university faculty environment. Personal agents’ interaction performance plays important role in process performance. Applying different interaction strategy to interact with different individual agents by understanding their behavior so that to obtain higher interaction performance is our research goal. Understanding an agent’s behavior is to understand an agent’s APR, i.e. Abilities, Personalities and Relationships. An agent’s APR can be observed and assessed from agents’ interaction history. After several months of works as the assistants of process performers, the interaction performances of EPMPAS are measured according to a defined interaction performance scale.


Multiagent System Resource Description Framework Interaction Pattern Interaction Performance Interaction Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Walter Brenner, Rudiger Zarnekow, Hartmut Wittig, “Intelligent Software Agents: Foundations and Applications”, Springer, 1998, ISBN 3-540-63411-8Google Scholar
  2. [2]
    J.K. Debenham, “Delegation of responsibility in an agent-based process management system”, in proceedings 3rd Pacific Rim International Workshop on Multi-Agents PRIMA2000, Melbourne, 28–29 August 2000.Google Scholar
  3. [3]
    Keith S. Decker. “Environment Centered Analysis and Design of coordination Mechanism”. Ph.D thesis. UMass CMPSCI Technical Report. May 1995.Google Scholar
  4. [4]
    T. Finin, Y. Labrou and J. Mayfield. “KQML as an agent communication language”. In Jeff Bradshaw(Ed.) Software Agents. MIT Press, 1997.Google Scholar
  5. [5]
    FIPA (1998). FIPA Content Language Library.
  6. [6]
    FIPA (1997). Agent Communication Language.
  7. [7]
    L. M. Hogg and N. R. Jennings (1999) “Variable Sociability in Agent-Based Decision Making” Proc. 6th Int. Workshop on Agent Theories Architectures and Languages (ATAL-99), Orlando, FL, 305–318.Google Scholar
  8. [8]
    N. R. Jennings, P. Faratin, T. J. Norman, P. O’Brien and B. Odgers (2000) “Autonomous Agents for Business Process Management” Int. Journal of Applied Artificial Intelligence 14(2) 145–189.CrossRefGoogle Scholar
  9. [9]
    Aizhong Lin and John Debenham. (2001). “Interaction Adaptivity in Multi-agent Interaction”. Proceedings of The Third International Symposium on Cooperative Database Systems for Advanced Applications (CODAS’2001), April 23–24, 2001Beijing, China.Google Scholar
  10. [10]
    Aizhong Lin. “Multi-agent Business Process Management”. Proceedings of ISA’2000, International ICSC Congress on INTELLIGENT SYSTEMS AND APPLICATIONS on December 11–15, 2000, University of Wollongong, NSW, AustraliaGoogle Scholar
  11. [11]
    Gerhard Weiss (Ed.) “Multiagent System: A Modern Approach to Distributed Artificial Intelligence” MIT Press (1999).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Aizhong (Alan) Lin
    • 1
  1. 1.Faculty of Information TechnologyUniversity of TechnologySydneyBroadwayAustralia

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