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» Generating Causal Explanation from a Cardio-Vascular Simulat...
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AAAI
1998
13 years 9 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
ICONIP
2007
13 years 9 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
UAI
2008
13 years 9 months ago
Discovering Cyclic Causal Models by Independent Components Analysis
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, conti...
Gustavo Lacerda, Peter Spirtes, Joseph Ramsey, Pat...
ACMACE
2006
ACM
14 years 1 months ago
AI-based world behaviour for emergent narratives
Research in Interactive Narrative has developed new approaches to the behaviour of virtual actors, but has dedicated little attention to the physical behaviour of the environment ...
Jean-Luc Lugrin, Marc Cavazza
MEMOCODE
2003
IEEE
14 years 25 days ago
Optimizations for Faster Execution of Esterel Programs
Several efficient compilation techniques have been recently proposed for the generation of sequential (C) code from Esterel programs. Consisting essentially in direct simulation ...
Dumitru Potop-Butucaru, Robert de Simone