Adaptive Infrastructures for Agent Integration

  • David V. Pynadath
  • Milind Tambe
  • Gal A. Kaminka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1887)


With the proliferation of software agents and smart hardware devices there is a growing realization that large-scale problems can be addressed by integration of such stand-alone systems. This has led to an increasing interest in integration infrastructures that enable a heterogeneous variety of agents and humans to work together. In our work, this infrastructure has taken the form of an integration architecture called Teamcore. We have deployed Teamcore to facilitate/enable collaboration between different agents and humans that differ in their capabilities, preferences, the level of autonomy they are willing to grant the integration architecture, their information requirements and performance. This paper first provides a brief overview of the Teamcore architecture and its current applications. The paper then discusses some of the research challenges we have focused on. In particular, the Teamcore architecture is based on general purpose teamwork coordination capabilities. However, it is important for this architecture to adapt to meet the needs and requirements of specific individuals. We describe the different techniques of architectural adaptation, and present initial experimental results.


Team Plan Integration Architecture Integration Infrastructure Evacuation Scenario Domain Agent 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • David V. Pynadath
    • 1
  • Milind Tambe
    • 1
  • Gal A. Kaminka
    • 1
  1. 1.Information Sciences Institute and Computer Science DepartmentUniversity of Southern CaliforniaMarina del Rey

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