Ross indexed the following pages under the keyword: "Stochastic processes".

Summary: A list of actions in which some object has to be avoided. Summary: Some items of information theory. Markov process / chain Stochastic processes Transition probability 2815 2816

Summary: A stochastic process and information. Stochastic processes Psychiatric applications [9]: What happens when an animal is faced with a painful environment it cannot get away from, 2826. 2825 2826

Summary: The probability of stability. Quotations [58]: "Tous les actes aussi variés soient-ils, n'ont qu'un but, celui de maintenir constantes les conditions de la vie dans le milieu intérieur." Claude Bernard. 3093. [~ "All such various acts have only one purpose, to maintain the constant conditions of life in the internal milieu."] Summary: If the f in the canonical equation behaves as a Markoff chain, the variable's behaviour is - Brownian movement with drift. Brownian movement canonical equations of Stochastic processes differential equations 3093 3094

Statistical mechanics density in phase Stochastic processes differential equations Statistical mechanics density in phase Stochastic processes differential equations 3121 3122

Summary: Infinite systems of stable parts. Statistical mechanics density in phase Stochastic processes differential equations Statistical mechanics density in phase Stochastic processes differential equations 3123 3124

Statistical mechanics density in phase Stochastic processes differential equations Statistical mechanics density in phase Stochastic processes differential equations 3125 3126

Summary: How a variable's distribution changes after an internal dt. Statistical mechanics density in phase Stochastic processes differential equations Statistical mechanics density in phase Stochastic processes differential equations 3127 3128

Summary: Steady states in an infinite system. Statistical mechanics density in phase Stochastic processes differential equations Joining by [x'=e-x2-...] Statistical mechanics density in phase Stochastic processes differential equations 3129 3130

Essential variables and pleasure Pleasure learning by pleasure Statistical mechanics density in phase Stochastic processes differential equations Summary: I am now ready to account for learning by 'pleasure'. Statistical mechanics density in phase Stochastic processes differential equations 3131 3132

Summary: In a linear system with all variables distributed, the means of the variables behave the same as the variables would if undisturbed. Statistical mechanics density in phase Stochastic processes differential equations Density in phase of linear system Field (of substitution) convergence in unstable system Statistical mechanics density in phase Statistical mechanics of linear system Stochastic processes differential equations 3133 3134

Statistical mechanics density in phase Stochastic processes differential equations Statistical mechanics density in phase Stochastic processes differential equations 3135 3136

Summary: In an absolute system independent distributions don't stay independent. Independence loss of statistical independence with time Statistical mechanics density in phase Stochastic processes differential equations Summary: 'Delay' in a machine is only behaviour of zero amplitude. Delay (in substitution) nature of 3137 3138

Summary: Switches that see a Markoff process only through themselves: consequent bias in their settings. (Theory in metric-less states, 4527) Markov process / chain seen through a gate or switch Stochastic processes seen through a gate or switch Information in machines 3163 3164

Dynamic system stochastic Machine stochastic machine Stochastic processes in machine Input defined Markov process / chain the Markov machine Output defined Transition probability in Markov machine 4768 4769