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» Bayesian learning in negotiation
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ISADS
1999
IEEE
13 years 12 months ago
Emergence of Communication for Negotiation by a Recurrent Neural Network
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
Katsunari Shibata, Koji Ito
SDMW
2004
Springer
14 years 28 days ago
PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web
Abstract. Researchers have recently begun to develop and investigate policy languages to describe trust and security requirements on the Semantic Web. Such policies will be one com...
Wolfgang Nejdl, Daniel Olmedilla, Marianne Winslet...
FC
2006
Springer
94views Cryptology» more  FC 2006»
13 years 11 months ago
Private Policy Negotiation
With the increasing importance of correctly handling privacy-sensitive data, significant work has been put in expressing and enforcing privacy policies. Less work has been done ho...
Klaus Kursawe, Gregory Neven, Pim Tuyls
AAAI
2007
13 years 10 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
NIPS
2000
13 years 9 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller