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Investigating the benefits of automated negotiations in enhancing people's negotiation skills
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 table of contents
Budapest, Hungary
SESSION: Virtual agents/agent-human interaction table of contents
Pages 345-352  
Year of Publication: 2009
ISBN:978-0-9817381-6-1
Authors
Raz Lin  Bar-Ilan University, Ramat-Gan, Israel
Yinon Oshrat  Bar-Ilan University, Ramat-Gan, Israel
Sarit Kraus  Bar-Ilan University, Ramat-Gan, Israel and University of Maryland, College Park, MD
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Wiley - Blackwell Ltd
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
Publisher
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 34,   Citation Count: 0
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ABSTRACT

Negotiation surrounds our day-to-day lives. Research in the field of automated negotiations has suggested the design and use of automated negotiators, on one hand to allow facilitation of the negotiation process by human negotiators and, on the other hand to provide automated agents that can negotiate on behalf of humans. Many papers present innovative agents and evaluate their efficacy in negotiations with other automated agents or people. Others focus on building negotiation support systems with the purpose of helping negotiators reach an agreement. Yet, the question still remains whether these systems or agents have the potential of improving people's negotiation skills. In this paper we attempt to shed more light on this topic. By means of extensive simulations with human negotiators we examine and compare several training methods and their implications on the improvement of negotiation skills of human negotiators.


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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Collaborative Colleagues:
Raz Lin: colleagues
Yinon Oshrat: colleagues
Sarit Kraus: colleagues