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'''自由能原理 Free energy principle'''是一个正式的陈述，它解释了生物系统和非生物系统如何通过将自己限制在有限的几个状态而保持在非平衡稳态。<ref>Ashby, W. R. (1962). [http://csis.pace.edu/~marchese/CS396x/Computing/Ashby.pdf Principles of the self-organizing system].in Principles of Self-Organization: Transactions of the University of Illinois Symposium, H. Von Foerster and G. W. Zopf, Jr. (eds.), Pergamon Press: London, UK, pp. 255–278.</ref>它表明系统最小化了内部状态的自由能函数，而内部状态包含了对环境中隐藏状态的信任。自由能的内隐最小化在形式上与变分贝叶斯方法 Variational Bayesian methods有关，最初由Karl Friston引入，作为神经科学中对具身知觉的解释，<ref>{{cite journal | last1=Friston | first1=Karl | last2=Kilner | first2=James | last3=Harrison | first3=Lee | title=A free energy principle for the brain | journal=Journal of Physiology-Paris | publisher=Elsevier BV | volume=100 | issue=1–3 | year=2006 | issn=0928-4257 | doi=10.1016/j.jphysparis.2006.10.001 | pmid=17097864 | pages=70–87| s2cid=637885 |url=http://www.fil.ion.ucl.ac.uk/~karl/A%20free%20energy%20principle%20for%20the%20brain.pdf}}</ref>在那里它也被称为“主动推理”。

 

 

 

'''自由能原理 Free energy principle'''是一个正式的陈述，它解释了生物系统和非生物系统如何通过将自己限制在有限的几个状态而保持在非平衡稳态。<ref>Ashby, W. R. (1962). [http://csis.pace.edu/~marchese/CS396x/Computing/Ashby.pdf Principles of the self-organizing system].in Principles of Self-Organization: Transactions of the University of Illinois Symposium, H. Von Foerster and G. W. Zopf, Jr. (eds.), Pergamon Press: London, UK, pp. 255–278.</ref>它表明系统最小化了内部状态的自由能函数，而内部状态包含了对环境中隐藏状态的信任。自由能的内隐最小化在形式上与变分贝叶斯方法 Variational Bayesian methods有关，最初由Karl Friston引入，作为神经科学中对具身知觉的解释，<ref>{{cite journal | last1=Friston | first1=Karl | last2=Kilner | first2=James | last3=Harrison | first3=Lee | title=A free energy principle for the brain | journal=Journal of Physiology-Paris | publisher=Elsevier BV | volume=100 | issue=1–3 | year=2006 | issn=0928-4257 | doi=10.1016/j.jphysparis.2006.10.001 | pmid=17097864 | pages=70–87| s2cid=637885 |url=http://www.fil.ion.ucl.ac.uk/~karl/A%20free%20energy%20principle%20for%20the%20brain.pdf}}</ref>在那里它也被称为<font color="#ff8000"> 主动推理Active inference</font>。