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David V. Pynadath, Milind Tambe, and Gal A. Kaminka. Adaptive Infrastructures for Agent Integration. In Tom Wagner and Omer Rana, editors, Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems, Lecture Notes in Computer Science, pp. 80–93, Springer Berlin / Heidelberg, 2001.
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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.
@incollection{pynadath-agents01,
author = {Pynadath, David V. and Tambe, Milind and Kaminka, Gal A.},
title = {Adaptive Infrastructures for Agent Integration},
OPTtitle = { Adaptive Infrastructures for Agent Integration: Revised papers from the international
workshop, Barcelona, Spain, June 3--7, 2000 },
booktitle = {Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems},
series = {Lecture Notes in Computer Science},
editor = {Wagner, Tom and Rana, Omer},
publisher = {Springer Berlin / Heidelberg},
isbn = {},
pages = {80--93},
volume = {1887},
url = {http://dx.doi.org/10.1007/3-540-47772-1_9},
doi = {10.1007/3-540-47772-1_9},
abstract = {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.},
year = {2001},
OPTaffiliation = {University of Southern California Information Sciences Institute and Computer Science Department 4676 Admiralty Way Marina del Rey CA 90292},
}
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