RESEARCH ON CYBERNETIC INVESTIGATION OF LEARNING AND PERCEPTION
Technical Report,01 Sep 1962,31 Aug 1965
SYSTEM RESEARCH LTD RICHMOND (UNITED KINGDOM) RICHMOND United Kingdom
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Research is summarized on models that describe the learning of a structured skill and on simulations of populations of automata that become more complex as they develop. Applicability and limitations on a simple learning model based on terms of continuous, information-like measures are discussed. The model considers the contribution from learning of the i-th skill to learning of the j-th. Limitations arise for the description of learning of higher-order concepts. The relevance of statistical and homeostatic approaches to the description of learning and adaptation is considered each is viewed as contributing to the characterization of a real-life population of organisms. The simulation model shows that individual automata do not learn on their own but in cooperating groups. The elaborate population that is postulated shows stability over a larger range of cost parameter values in an unconstrained environment than in a constrained environment. A gregarious automaton is described that has a sensory system sensitivity to density of population and a memory system significance is associated with properties that remain invariant or exhibit regular and correlated transformation.