Adaptive Infrastructures for Agent Integration
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.
KeywordsTeam Plan Integration Architecture Integration Infrastructure Evacuation Scenario Domain Agent
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- 1.J. Hendler and R. Metzeger. Putting it all together-the control of agent-based systems program. IEEE Intelligent Systems and their applications, 14, March 1999.Google Scholar
- 2.M. N. Huhns and M. P. Singh. All agents are not created equal. IEEE Internet Computing, 2:94–96, 1998.Google Scholar
- 3.N. Jennings. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions. Artificial Intelligence, 75, 1995.Google Scholar
- 4.N. Jennings. Agent-based computing: Promise and perils. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-99), August 1999.Google Scholar
- 5.David L. Martin, Adam J. Cheyer, and Douglas B. Moran. The open agent architecture: A framework for building distributed software systems. Applied Artificial Intelligence, 13(1–2):92128, 1999.Google Scholar
- 6.J. R. Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, CA, 1993.Google Scholar
- 7.S. Rogers, C. Fiechter, and P. Langley. An adaptive interactive agent for route advice. In Third International Conference on Autonomous Agents, Seattle,WA, 1999.Google Scholar
- 9.M. Tambe. Towards flexible teamwork. Journal of Artificial Intelligence Research (JAIR), 7:83–124, 1997.Google Scholar