Ross indexed the following pages under the keyword: "Experience".

Experience law of Parameter allows information to fall Set or Ensemble parameter and information Summary: Every parameter-change allows (or forces) the information in an ensemble to drop to a new lower level. Same applies to δ-impulse 3936. Habituation theory of 3704 3705

Experience Information fall under change of parameter Parameter allows information to fall 3954 3955

Aging (as process) Experience law of History aging processes Machine Markovian, aging in Markov process / chain aging in Variety in Markov machines Habituation in Markov machines 4916 4917

Summary: Statistical laws in the Markov chain. 4919, 4946 Basin and 'closure' Closure and 'basin' Experience example Aging (as process) and entropy Entropy in physics 4918 4919

Summary: What "examining a machine with input" means. 5055 Experience example 4956 4957

Summary: How can a machine express a binary relation? 5181 Summary: Law of Experience algebraically. 5155, 5209.7 Experience in algebra 5146 5147

Summary: The conditioned reflex, and shedding of scatter by going to an equilibrium. 5249.1, 5277.8 Equilibrium as noise-destroyer Noise method for destroying Experience rigorous form Input forcing convergence 5154 5155

Summary: Must a person's private "map" be observable to all? Decay of memory Experience corollary Memory law of experience 5178 5179

Summary: Use of observations at times earlier than "immediately preceding." Qualified 5210.3 5228, 5236 Definition and experience Experience and definition Protocol general theory of Summary: Definition, and the law of experience. 5254 Protocol general theory of 5209 5210

Memory and internal connexions Summary: Cross connexions, immediate effects, random transformations, and memory. Experience and learning structure Structure and Law of Experience 5312 5313

Summary: Reducibility in a set of trajectories, 5441, 5528, 5537, 5626 Accumulation (of adaptations) fundamental rule Iterated systems how much iteration? The Multistable System [117]: How should the multistable system be didvided? - So that each irreducible "Good" has its own ultrastable system. 5436. The Multistable System [118]: Fundamental rule for the multistable system: if the major "Good" is to be obtained by the accumulation of minor "goods", then each minor good should have an ultrastable system to itself. 5436. Experience and learning structure Plasticity and gaining structure Structure learning external structure 5436 5437

Experience and learning structure Structure learning external structure Diffusion of organisation Organisation diffusion of Structure diffusing in 5552 5553

Summary: Identification by random criteria is (in the defined circumstances) practically as good as accurate dichotomy. Summary: Major strategies are determined at the genetic level, minor at the cerebral. Experience 5568 5569

Summary: Habituation and the conditioned reflex as consequences of the law of experience. Experience and habituation Habituation and law of experience Summary: All that a mechanism for the conditioned reflex needs is a clear bias. 5826 5827

Experience makes every machine stable in a sense Stability every machine is Summary: When the machine with input is determinate, the output-trajectory determined by a given input-trajectory is stable. Pattern (in general) recognition of Perceptron 5834 5835