An automated meeting scheduling system that utilizes user preferences

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An automated meeting scheduling system that utilizes user preferences

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International Conference on Autonomous Agents archive
Proceedings of the first international conference on Autonomous agents table of contents

Marina del Rey, California, United States

Pages: 308 - 315

Year of Publication: 1997

ISBN:0-89791-877-0

Authors

Thomas Haynes	Department of Mathematical & Computer Sciences, University of Tulsa, 600 South College Avenue, Tulsa, OK
Sandip Sen	Department of Mathematical & Computer Sciences, University of Tulsa, 600 South College Avenue, Tulsa, OK
Neeraj Arora	Department of Mathematical & Computer Sciences, University of Tulsa, 600 South College Avenue, Tulsa, OK
Rajani Nadella	Department of Mathematical & Computer Sciences, University of Tulsa, 600 South College Avenue, Tulsa, OK

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 10, Downloads (12 Months): 51, Citation Count: 16

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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.

	1	Crispin, M. 1994. INTERNET MESSAGE ACCESS PROTOCOL- VERSION 4. Request for Comments (Experimental) RFC 1730, Internet Engineering Task Force.
	2	}Dent, L.; Boticario, J.; McDermott, J.; Mitchell, T.; and Zabowski, D. 1992. A personal learning apprentice. In Proceedings of the Tenth National Conference on Artificial Intelligence, 96-103.
	3	}Gosling, J., and McGilton, H. 1995. The Java Language Environment. Sun Microsystems Computer Company.
	4	Greif, I. 1982. PCAL' A personal calendar. Technical Report TM-213, MIT Laboratory for Computer Science, Cambridge, Mass.
	5	Grudin, J. 1987. Social evaluation of the user interface: Who does the work and who gets the benefit? In Bullinger, H., and Shacketl, B., eds., Human Computer Interaction - INTERACT87. North Holland. 805-811.
	6	Haynes, T., and Sen, S. 1996. Satisfying user preferences while negotiating meetings. In Second International Conference on Multi-Agent Systems. (submitted for review).
	7	Henry Kautz , Bart Selman , Michael Coen , Steven Ketchpel , Chris Ramming, An experiment in the design of software agents, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.438-443, October 1994, Seattle, Washington, United States
	8	Kelley, J. F., and Chapanis, A. 1982. How professional persons keep their calendars: implications for computerization. Journal of Occupational Psychology 55:141-156.
	9	Pattie Maes, Agents that reduce work and information overload, Communications of the ACM, v.37 n.7, p.30-40, July 1994 [doi>10.1145/176789.176792]
	10	Thomas W Malone , Kenneth R Grant , Franklyn A Turbak , Stephen A Brobst , Michael D Cohen, Intelligent information-sharing systems, Communications of the ACM, v.30 n.5, p.390-402, May 1987 [doi>10.1145/22899.22903]
	11	Sen, S., and Durfee, E. H. 1994. On the design of an adaptive meeting scheduler. In Proc. of the Tenth IEEE Conference on A I Applications, 40-46.
	12	Sandip Sen, Predicting tradeoffs in contract-based distributed scheduling, University of Michigan, Ann Arbor, MI, 1993
	13	Smith, R.G. 1980. The contract net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on Computers C- 29(12):1104-1113.
	14	Taub, E. 1993. Sharing schedules. MacUser 155-162.
	15	Weld, D. S.; Marks, J.; and Bobrow, D. G. 1995. The role of intelligent systems in the national information infrastructure. AI Magazine 16(3):45-64.

CITED BY 16

	Stefan Haustein , Sascha Lüdecke , Christian Schwering, The knowledge agency, Proceedings of the fourth international conference on Autonomous agents, p.205-206, June 03-07, 2000, Barcelona, Spain
	Sumit Ghosh , Manisha Mundhe , Karina Hernandez , Sandip Sen, Voting for movies: the anatomy of a recommender system, Proceedings of the third annual conference on Autonomous Agents, p.434-435, April 1999, Seattle, Washington, United States
	Milind Tambe , Weixiong Zhang, Towards Flexible Teamwork in Persistent Teams: Extended Report, Autonomous Agents and Multi-Agent Systems, v.3 n.2, p.159-183, June 2000
	Sandip Sen, Developing an Automated Distributed Meeting Scheduler, IEEE Expert: Intelligent Systems and Their Applications, v.12 n.4, p.41-45, July 1997
	Ariel D. Procaccia , Jeffrey S. Rosenschein , Gal A. Kaminka, On the robustness of preference aggregation in noisy environments, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, May 14-18, 2007, Honolulu, Hawaii
	Amedeo Cesta , Daniela D‘aloisi, Mixed-Initiative Issues in an Agent-Based Meeting Scheduler, User Modeling and User-Adapted Interaction, v.9 n.1-2, p.45-78, April 1999
	Michael Zuckerman , Ariel D. Procaccia , Jeffrey S. Rosenschein, Algorithms for the coalitional manipulation problem, Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms, p.277-286, January 20-22, 2008, San Francisco, California
	Yoram Bachrach , Jeffrey S. Rosenschein, Computing the Banzhaf power index in network flow games, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, May 14-18, 2007, Honolulu, Hawaii
	Habin Lee , Patrik Mihailescu , John Shepherdson, Realizing Teamwork in the Field: An Agent-Based Approach, IEEE Pervasive Computing, v.6 n.2, p.85-92, April 2007
	Ariel D. Procaccia , Aviv Zohar , Jeffrey S. Rosenschein, Automated design of scoring rules by learning from examples, Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems, May 12-16, 2008, Estoril, Portugal
	Yoram Bachrach , Jeffrey S. Rosenschein, Power in threshold network flow games, Autonomous Agents and Multi-Agent Systems, v.18 n.1, p.106-132, February 2009
	Michael Zuckerman , Ariel D. Procaccia , Jeffrey S. Rosenschein, Algorithms for the coalitional manipulation problem, Artificial Intelligence, v.173 n.2, p.392-412, February, 2009
	Ariel D. Procaccia , Aviv Zohar , Yoni Peleg , Jeffrey S. Rosenschein, Learning voting trees, Proceedings of the 22nd national conference on Artificial intelligence, p.110-115, July 22-26, 2007, Vancouver, British Columbia, Canada
	Ariel D. Procaccia , Jeffrey S. Rosenschein, Junta distributions and the average-case complexity of manipulating elections, Journal of Artificial Intelligence Research, v.28 n.1, p.157-181, January 2007
	Reshef Meir , Ariel D. Procaccia , Jeffrey S. Rosenschein , Aviv Zohar, Complexity of strategic behavior in multi-winner elections, Journal of Artificial Intelligence Research, v.33 n.1, p.149-178, September 2008
	Ariel D. Procaccia , Aviv Zohar , Yoni Peleg , Jeffrey S. Rosenschein, The learnability of voting rules, Artificial Intelligence, v.173 n.12-13, p.1133-1149, August, 2009