BBNLP wrote:
> Anyone who claims to know or care about NLP is aware that the process
> of modeling is the life blood of the field. The origin of NLP and its
> continued evolution come from the ability of NLP practitioners to model
> the verbal, cognitive and behavioral patterns (the "neuro-linguistic
> programs") of exceptional people. It is frequently pointed out that
> the basis of NLP is modeling and not the "trail of techniques" that
> have been left in its wake.
> For all of the acknowledgment and emphasis on modeling, however, there
> has not been a clear and shared perspective on exactly what NLP
> modeling is, nor an awareness that there are different varieties of
> modeling.
> For some, modeling is essentially strategy elicitation. For others it
> simply means using NLP distinctions when describing some phenomenon.
> Others perceive modeling as the imitation of key behaviors.
> The most powerful and generative models are those which capture
> something of the deep structure of the individual or individuals being
> observed. This is quite different than describing or imitating surface
> level behaviors. Reaching this deep structure has been one of the
> crowning achievements of NLP and requires a special methodology.
> In the following article, John Grinder and Carmen Bostic St. Clair lay
> out a set of criteria for distinguishing between the unique form of
> modeling from which the initial techniques and distinctions of NLP were
> derived ("NLP modeling") from other forms of modeling that apply
> NLP distinctions but use other means of information gathering and
> pattern fining.
> The distinction presented in this article is a result of several
> ongoing discussions we have been having about the system of knowledge
> (or "epistemology") of NLP. While different forms of modeling may
> be useful and even necessary in order address particular contexts or to
> reach particular outcomes, the distinction and criteria John and Carmen
> are proposing feel to me to be essential in order to more clearly
> establish and honor what is unique to NLP as a field as well as to
> respect its intellectual history.
> I admit that my own modeling work frequently falls into the category
> that John and Carmen refer to as Analytic Modeling, and at other times
> applies a combination of Analytic and more pure NLP Modeling. I fully
> support John and Carmen in making this differentiation and believe it
> is vital that practitioners of NLP learn the unique form of NLP
> Modeling and understand its difference from Analytic Modeling.
> As John and Carmen state, the distinction presented in this article are
> intended to be the beginning of a conversation for those committed to
> the field of NLP, an ongoing and hopefully fruitful conversation, to
> bring greater clarity, precision and understanding about the truly
> unique contributions of NLP.
> As Gregory Bateson used to say, "Let it be heard."
> Robert Dilts
> A Proposed Distinction for Neuro-Linguistic Programming (NLP)
> The development of any discipline, and especially one still organizing
> its initial patterning requires a certain attentiveness to precision in
> its fundamental vocabulary. Older disciplines have either clarified
> their fundamental terms (once or repetitively) and have established an
> apparent relatively stable platform on which further investigations and
> professional dialogue may be based.or they have fallen upon the sharp
> points that often protrude from their ill-defined terms, suffering
> debilitating and sometimes even fatal wounds that have precluded
> significant further development. Such ill-defined distinctions sway in
> the wind, impaled on these sticking points.
> Some care must be given in making determinations with respect to a
> standardized vocabulary. In general, distinctions in experiences are
> awarded distinct descriptive terms while notional variants are assigned
> to equivalence classes. This is the normal business of a discipline
> during its formative stages: to achieve a richness of distinctions, a
> descriptive precision and simultaneously an economy of expression; in
> an ideal world, at any rate.
> The distinction in question in this note is the term modeling as used
> in the field of Neuro-Linguistic Programming (NLP). In particular, the
> distinction between modeling as practiced in the field of NLP and
> modeling as practiced more generally.
> NLP Modeling, in the creation of the initial models that founded the
> field of NLP, at present and in the future of NLP, references an
> appreciation of and respect for two criteria that apply to modeling in
> NLP:
> 1. the suspension of any taxonomic and/or analytic attempt (all f2
> transforms as described in Whispering in the Wind, see
> www.nlpwhisperinginthewind.com) to understand consciously the
> patterning of the genius or model of excellence during the assimilation
> stage of patterning and until the following criterion is met
> 2. the modeler must demonstrate the ability to reproduce the patterning
> of the
> model in parallel contexts and in such contexts elicit roughly the same
> responses from client with roughly the same quality and time
> commitment as the original genius or model of excellence prior to
> beginning
> the challenging and rewarding activity of codification of the
> patterning
> demonstrated by the modeler
> We further note that all modeling work products failing to meet these
> criteria are to be classified as some other logical type of model -
> we suggest Analytic Modeling as a general term for such work products;
> employing the patterning and the distinctions available in the
> technology of NLP applications but failing to respect the definition of
> NLP modeling.
> It is also quite clear that there are applications (e.g. modeling a
> story teller) or contexts (e.g. the model is not available, deceased)
> in which the rather more extended and demanding commitment implied by
> NLP modeling may not be either applicable or the most efficacious or
> efficient strategy for explicating the patterning of a genius or
> extraordinary individual whose patterning is of interest. We intend
> this statement to be a recognition that there are other forms of
> modeling perfectly legitimate as strategies for learning which,
> nevertheless fail to meet the criteria that we are proposing defines
> NLP modeling.
> The essential difference of consequence between the process of NLP
> modeling and Analytic modeling is the relative contributions of the
> model and modeler to the final work product. This difference resides
> principally in the degree of imposition of the perceptual and analytic
> categories of the modeler during the modeling process. - in the case of
> NLP modeling, the imposition is minimal; in the case of Analytic
> modeling, the imposition is maximal. These two extremes define a
> continuum of possibilities and it may well be that other practitioners
> of other forms of modeling may wish to propose further distinctions. We
> would welcome such refinements but at present will content ourselves
> with the one proposed here.
> The requirements that the development of all cognitive representations
> be systematically suspended during the unconscious assimilation phase
> and the requirement that the modeler demonstrate the ability to perform
> as does the origin model or genius prior to beginning any cognitive
> coding describes the source of these profound differences.
> The intention behind this description is to ensure that this
> distinction - arguable the most revolutionary contribution of NLP -
> is preserved and that by the systematic use of this distinction, the
> public may appreciate the differences between the two logical classes
> of models and the distinctive processes of modeling thereby implied:
> NLP modeling and Analytic modeling. We invite well-intentioned
> practitioners of NLP to join us in preserving the distinction herein
> proposed or to offer commentary about how such an essential distinction
> can be preserved in the field of Neuro-Linguistic Programming..
> We further invite members of the NLP community who are considering
> participating in courses presenting modeling to request clarification
> of the type of modeling being presented. Such activity will ensure that
> the distinction is maintained in the field and that participants in
> courses will be able to determine whether the type of modeling is what
> they wish to master.
> Carmen Bostic St. Clair
> John Grinder
> Bonny Doon, California
> October, 2005