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Applying a combinatorial auction protocol to a coalition formation among agents in complex problems
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Source International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents
Melbourne, Australia
POSTER SESSION: Posters table of contents
Pages: 1008 - 1009  
Year of Publication: 2003
ISBN:1-58113-683-8
Authors
Hiromitsu Hattori  Nagoya Institute of Technology, Gokiso-cho,Showa-ku, Nagoya, Aichi,Japan
Tadachika Ozono  Nagoya Institute of Technology, Gokiso-cho,Showa-ku, Nagoya, Aichi,Japan
Toramatsu Shintani  Nagoya Institute of Technology, Gokiso-cho,Showa-ku, Nagoya, Aichi,Japan
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 11,   Citation Count: 1
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ABSTRACT

We are trying to apply a combinatorial auction protocol to a coalition formation among agents to solve a scheduling problem that considers various constraints as a complex problem. Constraints on scheduling can be expressed as combinations of items (time slots). We formalize a combinatorial auction for scheduling as an MIP (Mixed Integer Programming) problem, which integrates the constraints on items and bids to express complex problems.


REFERENCES

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W. D. Harvey and M. L. Ginsberg. Limited discrepancy search. In Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95), pages 607--613, 1995.


Collaborative Colleagues:
Hiromitsu Hattori: colleagues
Tadachika Ozono: colleagues
Toramatsu Shintani: colleagues

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