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CORR
2012
Springer
171views Education» more  CORR 2012»
12 years 6 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...
AIED
2011
Springer
13 years 2 months ago
Causal Modeling of User Data from a Math Learning Environment with Game-Like Elements
We have created a math learning environment with game-like elements such as narrative, visual feedback, personalization, collection, etc. We made a study with four different versio...
Dovan Rai, Joseph E. Beck
JMLR
2011
188views more  JMLR 2011»
13 years 5 months ago
Linking Granger Causality and the Pearl Causal Model with Settable Systems
The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl’s Causal Model, and so far their re...
Halbert White, Karim Chalak, Xun Lu
LOGCOM
2007
126views more  LOGCOM 2007»
13 years 10 months ago
Causality and Counterfactuals in the Situation Calculus
Structural causal models offer a popular framework for exploring causal concepts. However, due to their limited expressiveness, structural models have difficulties coping with su...
Mark Hopkins, Judea Pearl
ISCI
2008
137views more  ISCI 2008»
13 years 10 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
CORR
2006
Springer
144views Education» more  CORR 2006»
13 years 10 months ago
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
ICANN
2010
Springer
13 years 11 months ago
Discovery of Exogenous Variables in Data with More Variables Than Observations
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärin...
IJCAI
1993
14 years 1 days ago
Fuzzy Causal Simulation in Process Engineering
: This paper presents a causal simulation method for incompletely known dynamic systems in process engineering. The causal model of a process is represented as both a causal networ...
Kouamana Bousson, Louise Travé-Massuy&egrav...
AI
2006
Springer
14 years 2 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
ECSQARU
2001
Springer
14 years 3 months ago
Supporting Changes in Structure in Causal Model Construction
The term “changes in structure,” originating from work in econometrics, refers to structural modifications invoked by actions on a causal model. In this paper we formalize the...
Tsai-Ching Lu, Marek J. Druzdzel