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» Using Bayesian Networks to Model Agent Relationships
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AAAI
2008
13 years 10 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
ETFA
2006
IEEE
14 years 1 months ago
Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Y. Xiang, K. Zhang
IJCAI
2007
13 years 9 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
AI
2007
Springer
14 years 1 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘orâ...
Mark Crowley, Brent Boerlage, David Poole
AAAI
2006
13 years 9 months ago
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluat...
Kevin Regan, Pascal Poupart, Robin Cohen