Since its birth it has been a goal of behavioral science to achieve the same degree of elegance, reliability and precision which characterizes the physical sciences. From the vantage point offered by NLP, the inability of behavioral science to fully achieve this outcome becomes quite understandable. Historically, the physical sciences developed long before the behavioral ones. As many historians and philosophers of science have pointed out, the high regard and prestige which the physical sciences had attained seduced the founders of the behavioral sciences into adopting the methodology and form of the physical models. I select Newtonian physics as an initial reference point. The Newtonian model of physical systems was a representation of regular interactions which occur independently of the human observer. The most highly valued description or pattern or law in the Newtonian system was one where the maximum amount of context is deleted. In other words, heat, volume, density relationships of a gas in a confined space must hold independently of whether it's night or day, whether it's under water or in deep space, whether it's painted green or red, whether I want it to or not. . .

Note, by the way, that while portions of models of physical systems may be effectively represented without appeal to NLP methodology, the representations themselves are subject to NLP modeling. Perhaps a simple example will be useful to the reader. All of us are conversant with a special mini–language called arithmetic. Arithmetic is a language which expresses facts about quantity. You, as the reader know which of the following expressions are well–formed, legitimate expressions in the language of arithmetic and which are not ( ).