kapterev в посте Openmeta (оригинал в ЖЖ)
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The term model in NLP is used in a systematically ambiguous manner; it tan refer either, as suggested above, to collection of patterns (e.g. the Milton model) or to the source of inspiration for the patterning (in the case Of the Milton Model, Dr. Milton H. Erickson himself).
Models (in the sense of a collection of patterns associated by some principle(s)) may be pure or hybrid; by pure model, we intend that all the patterns in the collection have a common source (e.g. the Milton model) While by the term hybrid, we intend reference to a collection of patterns Whose source is not unitary - that is, that has more than one source of patterning. An example of a hybrid model is the Meta model (whose sources include Peris, Satir and the field of transformational syntax).
Collecting all of these comments, we have the core activity of NLP - NLP modeling - that results in the creation of a set of patterns or a model. The vast Majority of the actual activity at present in what is loosely referred to as the field of NLP is application and training - more specifically, application and training of the sets of patterns (or equivalently, models) that are the work product of modeling projects to specific areas of endeavor (change work, for example, either remedial or for the purposes of optimization of performance, business practice, sports, medicine, art...)