Title
An agent design for repeated negotiation and information revelation with people: Extended Abstract
Abstract
Many negotiations in the real world are characterized by incomplete information, and participants' success depends on their ability to reveal information in a way that facilitates agreement without compromising the individual gains of agents. This paper presents a novel agent design for repeated negotiation in incomplete information settings that learns to reveal information strategically during the negotiation process. The agent used classical machine learning techniques to predict how people make and respond to offers during the negotiation, how they reveal information and their response to potential revelation actions by the agent. The agent was evaluated empirically in an extensive empirical study spanning hundreds of human subjects. Results show that the agent was able (1) to make offers that were beneficial to people while not compromising its own benefit; (2) to incrementally reveal information to people in a way that increased its expected performance. The agent also had a positive effect on people's strategy, in that people playing the agent performed significantly higher than people playing other people. This work demonstrates the efficacy of combining machine learning with opponent modeling techniques towards the design of computer agents for negotiating with people in settings of incomplete information.
Year
DOI
Venue
2013
10.5555/2484920.2485195
AAMAS
Keywords
Field
DocType
expected performance,classical machine,repeated negotiation,information revelation,facilitates agreement,novel agent design,extended abstract,incomplete information,extensive empirical study,incomplete information setting,negotiation process,computer agent,negotiation
Computer science,Knowledge management,Human–computer interaction,Artificial intelligence,Revelation,Adversary,Machine learning,Complete information,Empirical research,Negotiation
Conference
Citations 
PageRank 
References 
1
0.34
6
Authors
3
Name
Order
Citations
PageRank
Noam Peled1252.19
Ya'akov (Kobi) Gal250144.49
Sarit Kraus36810768.04