Analyzing mental representation by means of NLP (Neuro Linguistic Programming)

  • Peter Molzberger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 253)


During our work on HAIST (Human Abilities In Software Technology) we came across some interesting parallel processes in mindstructures.

The HAIST-approach means that, if we had more information about the structure of our mental representations, it would be easier to design more effective man machine interfaces which give better support to programmers.

Unfortunately, the internal symbolic representations of our mind are unconscious to us for the most part or at least difficult to access. In NLP (Neuro Linguistic Programming) methods we found an extraordinary tool to figure out what is on the programmer's mind's eye.

The outcome of our NLP research was the so called Mastery Model that is transferable to other skilled people and seems to lead to excellence not only in programming, but also in various other fields.


Master Programmer Representational System Skilled People Symbolic World Internal Symbolic Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Peter Molzberger
    • 1
  1. 1.Fakultät für InformatikUniversität der Bundeswehr MünchenNeubiberg

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