Andrew, A.M.

Learning machines


These are (1) based on the use of conditional probabilities, (2) suggested by the idea that biological learning is due to facilitation of synapses and (3) based on existing statistical theory dealing with the optimisation of operating conditions. Although the application of logical-type machines to process control involves formidable complexity, design principles are evolved here for a learning machine which deals with quantitative signal and depends for its operation on the computation of correlation coefficients. By such trial-and-error procedures the control functions can be made to approach their optimum forms. THE CONDITIONAL PROBABILITY COMPUTER The ideas of probability theory must obviously be involved in any empirical approach to process control, since the aim is to maximise the probability of the desired goal in the future.