NLP Archives - Frequently Asked Questions about NLP
This page is a part of "Merl's World on NLP", one of the first websites on NLP, created in 1995 on CompuServe out of a Frequently Asked Questions file on the topic.
The site has been resurrected because (1) its non-commercial, impartial nature and (2) much of the information here is still hard to find...
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This page is a section of an Article I wrote for the NLP World magazine (March 1998 issue). It's an attempt at modeling the modeler. It is the answer to a question I asked John to find out where the roots of NLP can really be found.
John describes himself as addicted to excellence. He uses modeling to make a map of this excellence. Modeling is the goal he had in mind when developing NLP together with Richard Bandler, and he urges that modeling be the main element in the work of an NLP practitioner.
Language game model
The Meta-model can serve as a tool to play language games: Once you know what are the verbs and nouns in a language, the meta-model offers you a tool to play with the language without having a lot of actual understanding of what persons are saying. (Another hint from the editor: for those familiar to Artificial intelligence, in the 60s a computer program called Eliza was developed. This program simulated a Rogerian Therapist (only asking questions reflecting upon what the person was saying) and actually managed a lot of "patients" into being tricked that there was a "real therapist out there.)
When you want to get a quick first insight in a language, you can go for a first fluency. An example John described, involves learning the 6 forms of the verb "to go" in the language, the modal operators and the 20 most frequently occurring verbs in their infinitive form. This creates very quickly an illusion of fluency in a language.
You use the verb to go to indicate the future tense you want to put your sentence in, and add the significant verb. E.g. I am going to eat (in English) = "Je vais manger (in French) = Ik ga eten (in Dutch). If you combine the above sentences with some personal state management (enabling you to work under uncertainty and enabling you to learn by provoking corrections on your language use), the results are very quick.
<Read also about John's vision for the future of NLP>