the nlp meta model and tr s precision model n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
The NLP Meta Model and TR’s Precision Model PowerPoint Presentation
Download Presentation
The NLP Meta Model and TR’s Precision Model

Loading in 2 Seconds...

play fullscreen
1 / 20

The NLP Meta Model and TR’s Precision Model - PowerPoint PPT Presentation


  • 157 Views
  • Uploaded on

The NLP Meta Model and TR’s Precision Model. Understanding the patterns And how to respond. Distortions. Mind Reading – Claiming to know someone’s internal state. Ex. “You don’t like me!” Response – “How do you know…” Ex. “How do you know I don’t like you?”

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'The NLP Meta Model and TR’s Precision Model' - brasen


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
the nlp meta model and tr s precision model

The NLP Meta Modeland TR’s Precision Model

Understanding the patterns

And how to respond

distortions
Distortions
  • Mind Reading – Claiming to know someone’s internal state. Ex. “You don’t like me!”
  • Response – “How do you know…”
    • Ex. “How do you know I don’t like you?”
  • Prediction – Recovers the Source of the information.
distortions1
Distortions
  • Lost Performative – Value judgments where the person doing the judging is left out. Ex. “It’s bad to be inconsistent.”
  • Response –
    • “Who says it’s bad?”
    • “According to whom?”
    • “How do you know it’s bad?”
  • Prediction – Gathers evidence, the source of the belief, the strategy for the belief.
distortions2
Distortions
  • Cause – Effect – Where cause is wrongly put outside the self. Ex: “You make me sad!”
  • Response –
    • “How does what I’m doing cause you to choose to feel sad?”
    • A counter example is “How specifically?”
  • Prediction – Recovers the choice.
distortions3
Distortions
  • Complex Equivalence – Where two experiences are interpreted as being synonymous. Ex. “She’s always yelling at me, she doesn’t like me!”
  • Response – How does her yelling mean that she…?” “Have you ever yelled at someone you liked?”
  • Prediction – Recovers complex equivalence. Suggests a counter example.
distortions4
Distortions
  • Presuppositions – Ex. “If my spouse knew how much I suffered, they wouldn’t do that.”
    • I suffer.
    • My spouse acts in some way.
    • My spouse doesn’t know I suffer.
  • Response – “How do you choose to suffer?” “How are they (re)acting?” “How do you know he doesn’t know?”
  • Prediction – Specify the choice & the verb, and what they do. Recovers the internal representation, and the complex equivalence.
generalizations
Generalizations
  • Universal Quantifier – Universal generalizations such as all, every, never, everyone, no one, etc. Ex. “She never listens to me.”
  • Response – Find counter examples. “Never?” “What would happen if she did?”
  • Prediction – Recovers counter examples, effects and outcomes.
generalizations modal operators
GeneralizationsModal Operators
  • Modal Operators of Necessity – As in should, shouldn’t, must, must not, have to, need to, it is necessary. Ex. “I have to take care of her.”
  • Response – “What would happen if you didn’t?” “What would happen if you did?” “Or?”
  • Prediction – Recovers effects and outcomes.
generalizations modal operators1
GeneralizationsModal Operators
  • Modal Operators of Possibility – As in can/can’t, will/won’t, may/may not, possible/impossible. Ex. “I can’t tell him the truth.”
  • Response – “What prevents you?” “What would happen if you did?”
  • Prediction – Recovers Causes.
deletions
Deletions
  • Nominalizations – Process words which have been frozen in time, making them nouns. Ex. “There is no communication here.”
  • Response – “Who’s not communicating what to whom?” “How would you like to communicate?”
  • Prediction – Turns it back into a process, recovers deletion, and reference index.
deletions1
Deletions
  • Unspecified Verbs – Ex. “He/She rejected me.”
  • Response – “How specifically?”
  • Prediction – Specifies the verb or action
deletions simple delations
DeletionsSimple Delations
  • Simple Deletions – Ex. “I am uncomfortable.”
  • Response – “About what/whom?”
  • Prediction – Recovers the Deletion
deletions simple delations1
DeletionsSimple Delations
  • Lack of Referential Index – Fails to specify a person or thing. Ex. “They don’t listen to me.”
  • Response – “Who, specifically, doesn’t listen to you?”
  • Prediction – Recovers the referential index.
deletions simple delations2
DeletionsSimple Delations
  • Comparative Deletions – As in good, better, best, worst, more, less, most, least. Ex. “She’s a better person.”
  • Response – “Better than whom?” “Better at what?” “Compared to whom, what?”
  • Prediction – Recovers the comparison.
tr s precision model
TR’s Precision Model
  • Simplification of the NLP Meta Model
  • Uses the fingers as a Mnemonic device to remember the Model.
tr s precision model1
TR’s Precision Model

Too Much

Too Many

Too Expensive

Compared to What?

tr s precision model2
TR’s Precision Model

Nouns: Person

Places

Things

Who or what specifically?

tr s precision model3
TR’s Precision Model

Verbs: Action

State or

Occurance

How Specifically?

tr s precision model4
TR’s Precision Model

What would happen if you did?

What causes or prevents?

Should / Shouldn’t

Must / Mustn’t

Can / Can’t

tr s precision model5
TR’s Precision Model

Question the universal…

All?

Every?

Never?

Universals

All

Every

Never