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» Using opponent models for efficient negotiation
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CIA
2006
Springer
13 years 11 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
AAAI
2007
13 years 9 months ago
Gender-Sensitive Automated Negotiators
This paper introduces an innovative approach for automated negotiating using the gender of human opponents. Our approach segments the information acquired from previous opponents,...
Ron Katz, Sarit Kraus
MAGS
2008
121views more  MAGS 2008»
13 years 7 months ago
A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
Guoming Lai, Katia P. Sycara, Cuihong Li
ECWEB
2010
Springer
179views ECommerce» more  ECWEB 2010»
13 years 5 months ago
Concession Behaviour in Automated Negotiation
Traditional negotiation, conducted face-to-face and via mail or telephone, is often difficult to manage, prone to misunderstanding, and time consuming. Automated negotiation promis...
Fernando Lopes, Helder Coelho
ATAL
2010
Springer
13 years 8 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings