Autonomous nondeterministic tour guides

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Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs

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International Conference on Autonomous Agents archive
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems table of contents

Honolulu, Hawaii

SESSION: Partially cooperative multiagent systems: poster papers table of contents

Article No. 22

Year of Publication: 2007

ISBN:978-81-904262-7-5

Authors

Andrew S. Cantino	Georgia Institute of Technology, Atlanta, GA
David L. Roberts	Georgia Institute of Technology, Atlanta, GA
Charles L. Isbell	Georgia Institute of Technology, Atlanta, GA

Sponsor

: IFAAMAS

Publisher

ACM New York, NY, USA

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ABSTRACT

In this paper, we address the problem of building a system of autonomous agents for a complex environment, in our case, a museum with many visitors. Visitors may have varying preferences for types of art or may wish to visit different exhibits on multiple visits. Often, these goals conflict. For example, many visitors may wish to see the museum's most popular work, but that could cause congestion, ruining the experience. Thus, our task is to build a set of agents that can satisfy their visitors' goals, while simultaneously providing high quality experiences for all.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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