Early NLP was empirical and experimental, seeking practical techniques from widely divergent sources. Early developers collected (and created) a basket of tools that worked. There was, however, not much focus on formal theory. Since then, we've learned a vast amount about how the brain behaves.

We recognize that science provides a solid framework to advance our understanding of how the mind works. Science is probably the best remedy we have for superstition and dogma.

Besides, science has some very cool toys which we want in our playground and which have direct relevance to NLP. One example: when NLP started, brain imaging was in its infancy. Now it is possible to track brain activity in real time, with live subjects. As a result we can update our functional models of how best to change our subjective realities. Scientists can now "see" inside the brain to correlate external events with internal ones. It's an exciting time.

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