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LEARNING OBSERVATION AND PREDICTION
Observers The consequences of uncertainty The type
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abstraction acid activity adaptive controller artifact artificial neurones assembly attributes automaton average biological black box brain called carbon dioxide cell Chapter chemical Chemical computers conditional probability connections constraints control system cybernetic decision rule defect depends determined system device dice thrower ensemble entails environment equilibrium ergodic ergodic sets evidence evolutionary network example feedback Figure function given graph Hence hierarchy homeostasis homeostatic imitative controller impulse input interaction Jim Jones kind lamp learning logical Markovian system mathematical matrix measure mechanism ment metalanguage motor elements nerve object language observer observer's occur organism output oxygen parameters partial information participant observer particular phase space possible predictions problem programme receptors reference frame representative system selective operation self-organizing system sense sequence servomechanism signal simulator specified stable stationary statistical structure student sub-controller subsystems teaching machine tion tissues transition probability uncertainty variety whilst