Introducing Neuro-Semantics®
L. Michael Hall, Ph.D.
We first introduced the new cutting-edge field of Neuro-Semantics in our book Mind-Lines: Lines that Change Minds (1997). Since then we have also published other works in this field of Neuro-Semantics. These include Figuring Out People: Design Engineering Using Meta-Programs (1998), Time-Lining: Patterns for Adventuring in Time (1998), and The Secrets of Magic (1998).
In this calendar year (1999), we plan to bring out more pieces to highlight and distinguish Neuro-Semantics from NLP (Neuro-Linguistic Programming) and GS (General Semantics). The most radical and revolutionary of these will be the work regarding the so-called “submodality” model. We’ve entitled it, Meta-Stating Genius: Distinctions of Excellence. It is scheduled for publication in August, 1999.
Since we have had many questions about this new field, this paper will utilize the following questions that we most frequently hear people ask to navigate our way through the process of setting off the distinctive features of Neuro-Semantics.
∙ What is Neuro-Semantics and where did it come from?
∙ How does Neuro-Semantics differ from Neuro-Linguistic Programming?
∙ How does Neuro-Semantics differ from General Semantics?
∙ What uniquely distinguishes this new field?
∙ What central principles govern this domain?
∙ What is The Institute of Neuro-Semantics®?
∙ Who are the principal players in the Institutes of Neuro-Semantics?
∙ What is their agenda, motivation, and intentions?
What is Neuro-Semantics and Where did it Come From?
Neuro-Semantics began in 1996 as the brain-child of Michael Hall and Bobby Bodenhamer as we engaged in various conversations about Meta-States, NLP, and General Semantics. Out of those conversations we wrote several articles regarding the current state of affairs in NLP. The first one we entitled, “The Downside of NLP.” This article, as well as some follow up articles about the state of disarray, bad P.R., the Bandler lawsuit, the over-emphasis and vague emphasis on “installing learnings unconsciously,” etc. were published in Anchor Point. Nelson Penaylillo (NLP Trainer in Australia), Peter Kean (NLP Trainer, Washington DC), and Robert Olic (NLP Trainer, Philadelphia, PA) were the first to thereafter joined in the conversation.
In extending, expanding, and enriching both NLP and GS, we (Hall and Bodenhamer) first sought simply to unite and synthesize the best pieces from Neuro-Linguistic Programming (NLP) and General Semantics. Our passion was to get more credibility and validity for the field that seemed so disorganized and torn by competition in the USA. Simultaneously, we were developing numerous new patterns using the Meta-States Model. This was beginning to revolutionize things and it was Dr. Bodenhamer who first saw this vision in the Meta-States model. Consequently we choose the term Neuro-Semantics to designate the new enriched field.
Now the term Neuro-Semantics goes back to Alfred Korzybski. The father of General Semantics introduced both phrases, “neuro-linguistic” and “neuro-semantic,” in 1936 in some of his papers. Later, they showed up in his 1941 Preface to his classic work, Science and Sanity. In Korzybski’s writings, you will find both terms used pretty much synonymously. Here, however, following the Meta-States Model®, we have arbitrary chosen to use Neuro-Linguistics to refer to the Modeling, Methodology, and Technology that has grown out of the field of NLP and Neuro-Semantics to refer to the newer and more extensive Modeling, Patterning, Methodology, and Technology that has resulted from the Meta-States Model. In the next section you will find a fuller discrimination between NLP and Neuro-Semantics.
How does Neuro-Semantics differ from Neuro-Linguistic Programming?
NLP emerged as a happen-chance from a modeling project of Fritz Perls and Virginia Satir. This happened as the young college student, Richard Bandler, discovered his genius of imitation of their language patterns. Linguistics Professor, John Grinder, began working with Richard to model the structure of the therapeutic wizards. This brought them into relationship with Dr. Robert Spitzer, who became their first publisher (Science and Behavior Books). And that, in turn, led to their association with the genius of Gregory Bateson (anthropologist, linguist, cybernetician) when Spitzer moved them onto his property. They became neighbors of Bateson. And that connection, in turn, then led them to Milton Erickson and hypnosis.
Using the new formulations of the then-emerging Cognitive Psychology Models, Bandler and Grinder tapped into the elegance of the TOTE Model of Miller, Galanter, and Pribram. This gave them a linear way to track the processes within “the black box” that Behaviorism had always avoided. Out of this came the NLP Strategy Model— a Model for Modeling Excellence. This model primarily operates like a flow chart of consciousness, tracking “mind” linearly. In Neuro-Semantics, we add the vertical dimension and so tease out the hidden meta-levels within the structure of subjectivity.
In the beginning, NLP sought to avoid all theory, explanatory models, and “the why” question by presenting itself as strictly focused on how do you do that? Accordingly, NLP arose first and foremost as a Communication Model. It explored how the body (Neuro, e.g. the nervous system, physiology, neurology, etc.) gets Programmed by the use of various Languages (linguistics).
By way of contrast, Neuro-Semantics goes beyond the linear “flow chart” analysis of the Structure of Subjective Experience by focusing more fully on the Meta-Levels that support and drive the movement of consciousness along its TOTEs. By tracking the vertical dimensions of human processing, it moves into higher level Meanings much more fully. Accordingly, it tracks and models the neuro-semantic structures of meanings at higher (and typically, unconscious) levels.
Both Neuro-Semantics and NLP operate as interdisciplinary approaches, utilizing models from many psychologies. This includes cybernetics, computer science, neuro-biology, family systems, anthropology, etc.
Neuro-Semantics highlights much more fully and extensively the existence of multiple meta-levels and logical levels than does NLP. Korzybski (1933/1994) labeled the higher level abstractions as “second order” and “third order” abstractions. He suggested that much study and exploration needs to be done in this area of reflexivity about how we evaluate and then evaluate our evaluations and by that create higher levels of “mind.”
Bateson (1972) picked up on this in how he used meta-levels and logical types in his theories of schizophrenia, play, humor, aesthetics, etc. He and the Mental Research Institute (MRI) in Palo Alto laid so much of the foundation for NLP (especially in the 1974 book, Change by Watzlawick, Weakland, & Fisch).
NLP, as a meta-discipline itself, certainly has meta-levels (the Meta-Model, Meta-Programs). And co-developer, Robert Dilts has contributed numerous meta-level models. But nowhere in NLP had a fully descriptive and comprehensive model about Meta-Levels emerged until the development of the Meta-States® Model (Hall 1995, 1996, 1997, 1998). This was recognized by the International NLP Trainer’s Association in 1995 in their award for Meta-States as “the most significant contribution to NLP in 1994—1995.”
In many ways, the Meta-States Model has turned NLP upside down. And it has done so in such a simple way. By merely changing the operational metaphor of “depth” inherited from Transformational Grammar, and adopting the “height” metaphor, Meta-States reformulated NLP. Dr. Graham Dawes noted this in his early reviews of Meta-States and Dragon Slaying commenting that Meta-States will be the model that “ate NLP.” Others have commented that Meta-States outframes NLP as it sets up higher frames for the processes of NLP. If this sounds like we think Neuro-Semantics will replace NLP, we would like to add that we see it in a different function, namely, as extending, continuing, and evolving the development that began with Korzybski, Bateson, Bandler, Grinder, Dilts, etc.
In the Meta-States Model, the nature of self-reflexivity has finally been given its full due. In this way, the model provides a way to track thoughts-about-thoughts, feelings-about-feelings, as our inevitable and inescapable meta-thinking, meta-feeling, and meta-responding generates layers upon layers of cognition. This flexible model provides a way to identify the ever-changing hierarchy of human consciousness, without becoming a rigid way. The levels themselves shift and change. And true enough, while this makes for seeming complexity in human “mind” and experience, the ordering of the Meta-Level Principles formats and structures that complexity. This means that the plastic and flexible nature of meta-levels whereby any thought can reflect back onto itself or onto another thought at any level does not have to create confusion or chaos. We can track it. We can model it as a system.
While the recursive nature of thought-feeling does create complexity, it does not create chaos. Systemic complexity contains structure. So even though it may at first appear as the complexity of chaos, with a meta-level model like Meta-States we can easily discover an ordering at a higher level. And as this distinguishes different levels of “thought”— this provides a new and profound understanding in NLP. We have designated this as the beginning of Neuro-Semantics. This Meta-Level Model thus provides a way of distinguishing such mental phenomena as:
∙ Beliefs — Validated Thoughts-about-Thoughts
∙ Values — Valued Thoughts-about-Thoughts
∙ Understandings— Extensive systems of Thoughts-about-Thoughts
∙ Decisions — Choiced Thoughts-about-Thoughts
∙ Identity — Beliefs about Thoughts-about-”Self” Concepts
∙ Concepts — Extensive (simple or complex) Understandings about Domains of Understandings
∙ Categories — conceptual sorting of Concepts
∙ Reasons —higher level structures used as explanatory constructs
∙ Etc.
As an aside, I should here mention the extreme limitation of the term “thought.” By itself, the term reflects a very limited, Aristotelian, and primitive term—an Elementalism. Using the principles of General Semantics, we know that “thought” includes “emotion,” hence the awkward yet more sane mapping of “thought-feeling.” So to use “thought” sanely we have to do so from a non-elementalistic perspective. For people in NLP, this provides a new piece straight from GS that was not in the original Meta-Model. You will find it in the expanded Meta-Model in The Secrets of Magic.
With the systemic nature of self-reflexive thought-feeling looping recursively back onto itself creating layers of consciousness and the higher level structures (the “mental” phenomena), we have states-about-states or Meta-States. This sets up systemic processing. It generates logical levels in our “thinking-emoting.” It sets up attractors in a self-organizing system. And these run by certain higher level principles— all articulated as the Meta-Stating Principles.
Now we can begin to sort out different kinds of meanings. We can sort out linkage “meaning,” previously known as Pavlovian conditioning or Associative Meanings. It goes further. It introduces Contextual Meanings— the meanings that arise from higher mental contexts. These higher level abstractions of “meanings” into which we categorize and attribute significance to things thereby generates our Semantic or Conceptual States. And with this, we introduce yet another new distinction in NLP.
I trust that by now you can recognize that in these ways, Neuro-Semantics incorporates higher level “meanings” into the structure of subjectivity. Our “states” involve the primary level neuro-linguistic thoughts-and-feelings in response to something out there in the world. That defines a Primary State. A Meta-State involves more. It involves our thoughts-feeling about our thoughts, emotions, states, memories, imaginations, concepts, etc. It involves our meta-responses to previous responses.
There is a lot more to Neuro-Semantics than this (and more being developed every week), but this does begin to offer a set of distinctions. In summary, notice the following chart.
NLP |
Neuro-Semantics |
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