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AI
2006
Springer
13 years 11 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia
ATAL
2006
Springer
13 years 11 months ago
Agent interface enhancement: making multiagent graphical models accessible
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
Yang Xiang, Kun Zhang
WSC
2008
13 years 10 months ago
Integrated human decision making model under Belief-Desire-Intention framework for crowd simulation
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
Seungho Lee, Young-Jun Son
NIPS
2000
13 years 9 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
UAI
2007
13 years 8 months ago
Library-style Ontologies to Support Varying Model Views
The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...
Hermina J. M. Tabachneck-Schijf, Linda C. van der ...