[1] Pearl J.Causality:Models,reasoning and inference[M].Cambridge,USA:The MIT Press,2009. [2]Spirtes,Glymour C,Scheines R.Causation,prediction,and search[M].Cambridge,USA:The MIT Press,2000. [3]Tsamardinos I,Brown L E,Aliferis C F.The max-min hill-climbing Bayesian network structure learning algorithm[J].Machine Learning,2006,65(1):31-78. [4]Ma Saisai,Li Jiuyong,Liu Lin,et al.Mining combined causes in large data sets[J].Knowledge-Based Systems,2016,92:104-111. [5]Chickering D M.Optimal structure identification with greedy search[J].Journal of Machine Learning Research,2002,3(3):507-554. [6]Vargas P,Moioli R,De Castro L N,et al.Artificial homeostatic system:A novel approach[C]//Proceedings of Advances in Artifical Life.Berlin,Germany:Springer Berlin Heidelberg,2005:754-764. [7]Shimizu S,Hoyer P O,Hyvarinen A,et al.A linear non-Gaussian acyclic model for causal discovery[J].Journal of Machine Learning Research,2006,7(4):2003-2030. [8]张浩,郝志峰,蔡瑞初,等.基于互信息的适用于高维数据的因果推断算法[J].计算机应用研究,2015,32(2):382-385. Zhang Hao,Hao Zhifeng,Cai Ruichu,et al.High dimensional causality discovering based on mutual information[J].Application Research of Computers,2015,32(2):382-385. [9]Hoyer P O,Janzing D,Mooij J M,et al.Nonlinear causal discovery with additive noise models[C]//Advances in Neural Information Processing Systems.Vancouver,Canada:MIT Press,2009:689-696. [10]Peters J,Janzing D,Schoelkopf B.Causal inference on discrete data using additive noise models[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(12):2436-2450. [11]张浩,郝志峰,蔡瑞初,等.一种适用于高维网络的方向推断算法[J].小型微型计算机系统,2015,36(6):1358-1362. Zhang Hao,Hao Zhifeng,Cai Ruichu,et al.An approach for inferring causal directions in high dimensional causal networks[J].Journal of Chinese Computer Systems,2015,36(6):1358-1362. [12]Janzing D,Mooij J,Zhang Kun,et al.Information-geometric approach to inferring causal directions[J].Artificial Intelligence,2012,182(10):1-31. [13]Peng H,Long F,Ding C.Variable selection based on mutual information criteria of max-dependency,max-relevance,and min-redundancy[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,27(8):1226-1238.