THE PROTOSCIENTIFIC JOURNAL OF NEURO-LINGUISTIC PROGRAMMING

Volume one of the The Protoscientific Journal of NLP contains the following articles:

ABC and TOTE: how to reconcile behaviorism, cybernetics and enactivism
This article explains how the ABC-model from Behavior Analysis can be understoo
d in terms of the TOTE model of cybernetics. The TOTE model is also the core unit in which NLP describes human behavior. This article introduces radical enactivism as a way to reconcile behaviorisme and cybernetics.

Lesser minds
Behavio
r Analysis aims at deflating the concept of personality by looking only at external behavior. The Syntactic Theory of Mind also deflates the concepts of personality by removing content from the mind. Thus a lesser mind is conceptualized. This goes ag
ainst non-radical enactivism where the mind in inflated to include the environment. NLP is also a way to deflate the concept of personality.

Subjective Bayesian statistics and the measurement problem
Subjective Bayesian statistics is th
e ideal solution to the measurement problem because it doesn''t take people''s answers to questions on face value. As it turns out subjective Bayesian statistics is the best statistical tool for philosophers, NLP practitioners and behavior analysts.


The case for a pure feeling theory
What are our emotions? In this article it is argued that our emotions are nothing but pure feelings. This matches well with the role of emotions in Behavior Analysis and NLP.

Blame without
a cause
NLP does away with causation talk. The number one question people have about doing away with causation is what this means for morality and justice. Our justice systems seems to be all about determining who caused what. If there is no caus
ation whatsoever, can we still have a justice system? This article shows that you can still blame people even without causation.

The thirty year plan as a healthy alternative to Dilts'' logical levels
This is a pure NLP article. This ar
ticle expounds concerns with Dilts'' logical levels. This article also demonstrates how academic reasoning can further a deeper understanding of NLP. As Dilts'' logical levels are very popular within the field of NLP, this is quite a controversial ar
ticle.