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ECAI
2008
Springer
15 years 7 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
AAAI
1990
15 years 7 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
ATAL
2009
Springer
16 years 18 days ago
A mathematical analysis of collective cognitive convergence
Multi-agent systems are an attractive approach to modeling systems of interacting entities, but in some cases mathematical models of these systems can offer complementary benefits...
H. Van Dyke Parunak
ECML
2005
Springer
15 years 11 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
IVA
2007
Springer
16 years 5 days ago
The Rickel Gaze Model: A Window on the Mind of a Virtual Human
Gaze plays a large number of cognitive, communicative and affective roles in face-to-face human interaction. To build a believable virtual human, it is imperative to construct a ga...
Jina Lee, Stacy Marsella, David R. Traum, Jonathan...