This paper describes a detailed cognitive structure and related processes. It also suggests some specific methods for carrying out those processes, where the methods interact well with each other. The main purpose of this paper is to reaffirm earlier research on different knowledge-based and experience-based clustering techniques, by describing in more detail how they can work as part of the same system. While an earlier paper defined three levels of functional requirement, this paper re-defines the levels in a more human vernacular. The intended higher-level goals are made clearer, in terms of action-result pairs. The system is therefore modelled on the human brain, where pattern creation and activation would be automatic and distributed, and the information can flow seamlessly between the main constructs. The overall architecture has stayed essentially the same and so it is the localised processes or smaller details that have been updated. For example, a counting mechanism is used slightly differently, to measure a level of 'cohesion' instead of a 'correct' classification, over pattern instances. The Concept Trees structure can perform more than one type of role and the introduction of features has enhanced the architecture again. There is also some new information and theory.
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