Physics of Consciousness / Artificial Intelligence Theory Based on Recursion / Embedding

A development & comment on Dan Winter's theory of Artificial Intelligence / Consciousness among waves by measuring self-similarity and self organization using FFT. This work was originally published in Portuguese in Department of Computer Science of the University of Sciences and Technology of the New University of Lisbon, Portugal., by the author Gustavo Figueiredo. It is emphasized that what follows is only a preliminary exerpt (minus images) which has only been preliminarily translated. Interested readers are encouraged to communicate with the author at

Return index of Dan Winter's article reprints.

more evidence:

"Our dynamic duality model elucidates the quantum background of non-locality, principle of least action and Golden mean, unifies the quantum and relativist theories. Tending of open systems to conditions of Golden mean is supposed to be a driving force of their self-organization." From Alex Kaivarainen <> Golden Mean Wave Compression Unifies Physics


Consciousness as a self-referential system of non-local nature and its relationship with Computation and Cognitive Sciences

Gustavo Figueiredo

Computation and Cognitive Sciences - Social and Human Sciences Area, Department of Computer Science of the University of Sciences and Technology of the New University of Lisbon, Portugal.

July, 2001

"(..)All significant access to superluminal scalar waves, tachyon, and access to doorways through the speed of light limit, through time barrier, and through event horizon will be PHI based harmonics... Phi based and 60 degree dodeca 12 cone base capacitive charge cone optimizes capacitive effects on precipitation, cloud formation (cf Trevor Constable Weather Engineering on the High Seas), necessary architecture geometry for arranging data in a fractal for computer compression, necessary architecture for arranging neural net nodes for fractal and self organizing/self aware (...)"
"The Physics of Phi", Daniel Winter

"Fractality and Recursion Hold Clues to the Origin of Flowering Self-Awareness and Consciousness..."

"Sacred Geometry: The Shape of Things Eternal", Daniel Winter

"Self-Reference/Self-Awareness: You were getting angry, then you became aware, that you were AWARE you were getting angry... then you became aware that you were aware that you were aware.... you were getting angry. Each time you got outside yourself to look at your self, you got more perspective or context in your understanding of your own anger. As a result you had more ability to steer the direction of your emotion with a large horizon of awareness.

The only angle at which a wave can re-enter itself or refer to itself non-destructively is the phi spiral. This then is the optimal geometry of self reference or self awareness. It becomes measureable in the magnetic angle of the hearts "wings" at the moment of compassion or embedding. It becomes eseent in the PHI harmonics of the brain and heart at the moments of peak awareness."

"Making Light of Word: A Physics of Consciousness Glossary", Daniel Winter


The multidisciplinary nature of Cognitive Sciences is very evident in this work. I appreciate the opportunity to present a review that seeks to approach even if briefly, certain studies related to the Physics Consciousness and other similar areas that, in some theoretical and some practical ways, demonstrate that we are facing a paradigm shift, with obvious consequences, as much for the Computation and Cognitive Sciences (CCC), as for Computer Sciences in general.

This theme inspired me way beyond mere academical interests. The intent here is to move the investigator to a new vision. However, we are equally aware that these are still the first steps in this area and that it still lacks too much before we can begin to seriously approach this subject. On the other hand, and in the sense of preparing the basis for future investigations, the review here seeks to gather the maximum number of accepted and scientifically proven premises that are directly supportive to this 'embedable' way of thinking. (in a way to motivate the most skeptical investigator or less expert of in this field of knowledge).

I also want to state my gratitude to all those that helped me doing this work. In the first place, I send a word of great esteem to Daniel Winter, for his vision, intelligence and for that courage and tenacity that have been allowing him to fight against all the ingrate obstacles that have been confronting him along his life. Our gratitude is also for his magnificent support rendered for this work.

Daniel Odham (PhD), another collaborator of Winter in the development of the microprocessor Heartlink was equally indispensable for the elaboration of the present work. With him, I shared some possible solutions for the implementation of the hardware proposed by Winter, based on the analysis of the 2nd Order Fast Fourier Transform (or 2nd order FFT) in the coherence detection in biological oscillators (EKG and EEG Coherence at Self-Awareness peaks).

My gratitude extends to: Rupert Sheldrake, for his necessary Morphic Resonance theory and for the bridge he built between "some inherent creative intelligence in mind and nature" and Consciousness; to David Chalmers, for his sagacious analysis on the search of the Neural Correlate of Consciousness; to Churchland, for the way he unconsciously made us understand that Mind is not merely Computational (he was trying to prove the opposite...) And finally, to my great friend in this journey, the historian and investigator Jorge de Matos PhD, collaborator of the Sociology and Ethnology of Religions Institute at the New University of Lisbon, for the great inspiration that in key moments he gave me to this work.

July 2001, Gustavo Figueiredo, Parede, Portugal


We demonstrate that Consciousness is a self-referential system of non-local nature and, for that reason, it is not totally dependent on (or guided by) our brain's functions. The investigation developed in this area by the theoretical physicist Daniel Winter, is the basis of our work, and the so-called Neural Correlate of Consciousness (NCC) of David Chalmers, is hereby proven to be indistinguishable from the process of distribution of consciousness (awareness distribution), which, as Winter suggests*, most probably happens at the synapse level. Therefore, we equally suggest that the NCC should instead be called NGC, or in other words, Neural Gateway of Consciousness.

The "Complete Theory of Consciousness", as proposed by Chalmers, finds here its requirements all satisfied for the first time, thanks to Winter's theory, which we use to demonstrate that those long awaited answers in fact exist and that they are scientifically plausible. In that same context, we demonstrated that Damásio's perspective regarding consciousness is incomplete and, in that way, it is incompatible with Chalmers' theory.

*-Note here ­ Most specifically Winter would suggests that consciousness or wave self-organization exists wherever wave systems become most fractal or self-embedded. The fractal or recursive harmonic content of the synapse's in the brain, the geometry of the spark gap at the core zipper of DNA, and the harmonic content of the EKG during BLISS collectively would thus possess this doorway to CONSCIOUSNESS ­ as re-cursive turning-inside-out-ness optimised to the point of apparent IMPLOSION. This is demonstrated for example by the way brain wave harmonics retrained to embed in recursion ( Jacob's Ladder ­ Mart Wuttke's work) apparently end addiction and attention deficit by literally creating the centering force of implosion.


This paper intends to demonstrate that the "process" we call consciousness, or some times Mind (which is different), corresponds to the only physical process able to start the collapse of a wave function in an universe made only by waves - the Universe we sometimes think we know so well. In other words, we defend the theory that Mind ­ still point maker - is the only architect of reality and, in that way, we will consider a series of implications in what are relative to the actual vision about Computation and Cognitive Sciences.

Besides this demonstrative approach, we will try equally to prove the scientific validity of some postulates relatively to the theory of the nature of consciousness just as it is presented by Daniel Winter.

Additionally, we postulate that in the case of Humans, this biological process (in our opinion still badly understood), has its foundations on a system that is different from the neural nets working in the brain, it doesn't exist under a totally separated context from these nets, nor it is easily detectable through neurobiology. It's structure is composed by existent units of consciousness in a quantum field, where the information, free from what we call Newtonian Physics, acquires a natural tendency to organize in stable forms of infinite compression. According to physicists' opinions and investigators like Jean Charon or Arthur Young (see "Reflexive Universe"), every point in the space-time grid is conscious, and the human brain is a neural structure permeated by these units, just as A. I. Rosenberg demonstrated it in "Consciousness and thoughts: the mind speaks for itself." Or still, just as Amy Lansky stated, "consciousness is an active force that we can exercise in the universe and not simple a passive perception of that same universe."

Therefore we study consciousness, demonstrating that it operates in a more subtle plane, less dense, not merely rational, but always logical. We will include an approach to the electric field emanated from the human heart muscle and, inside this analysis of the more subjective aspects of consciousness, we will reaffirm under a scientific perspective, Blaise Pascal's famous sentence: "The heart has reasons that reason itself knows nothing about."

The practical result of this new perspective may be more interesting than ones now proposed and practised according to the exclusively computational model of the brain. In an analysis of the recently invented Heartlink Monitor, where the physics of consciousness here discussed are somehow put in practice, we verify that the own biofeedback process and morphogenesis of live systems are part of a dimension not directly measurable in the quantum field or in other fields yet not totally understood. However, this reality is directly measurable in the classic physical plane, if the more noble theoretical concepts related to this study are properly applied. Winter proposes that self embedding and self awareness can be measured by spectrum analysis seeking a certain embedding ratio between harmonics with oscillating system , as is perfectly measurable in the case of the human heart or even the brain, (using the "Heartlink Monitor" as discussed below).


All the images and illustrations here presented were made by the author, except as otherwise attributed. We also underline the fact that Daniel Winter, one of the cited investigators and active collaborator in the present work, granted us authorisation to any of his graphical works, as long as it is properly identified as marked as his creation.

"The problem of consciousness is perhaps the largest outstanding obstacle in our quest to scientifically understand reality."

"Consciousness and Cognition", David Chalmers

"Il ne faut rien imaginer: il faut se taire... et écouter... Il faut regarder dans le silence, sans vouloir voir et accepter le Rien, car ce que l´homme appelle 'rien' c'est cela la Réalité."
Schwaller de Lubicz

In the study of the Computational Sciences, a factor of extreme importance is the way local interactions in a given system can control or influence its global behaviour and responsiveness. Not only is this important for its expected flexibility and dynamics, but also to the implementation of fault tolerance mechanisms. Let us imagine, for instance, that the normal functioning of a given software application depends broadly on the results obtained in small and apparently less decisive routines of the computation being made - for instance, the communication routines in a distributed system. If one of them exhibits flaws during the execution of a process, the expected operation of the entire application can fail. The more dependent are the different modules (or processes), the higher the chances that this can happen.

In the bottom line, a tendency exists in all complex and inter-dependent systems to degrade with some easiness if all possible exceptions to normal functioning (expected) are not considered and solutions implemented. Think of Distributed Database systems, for example. (Begin to ask ­ are infinite 'mutiply connected' distribution versus infinite compression ­ really identical as wave functions. Was it not perfect compression perhaps engendered by perfect recursion / fractality which made one node in your hologram infinitely connectable as wave to every other node in that hologram. )

Therefore, techniques have been created, based in redundancy and replication of data and other specificly located mechanisms of fault tolerance, where problems are detected in more detail.

However, if a given system should be the more flexible, such as, for instance, an artificial intelligence application built to produce medical diagnoses, where the maximum of information should be interconnected in such a way to produce results entrusted, and if possible, than can be able to learn across time, this should also have in consideration other factors despite the fault tolerance, such as its natural evolution in terms of the number of acquired data and its interconnectedness amongst information contexts, so that later, new variables are set out correctly. There exists, therefore, a coherence problem associated with learning. The conclusion is that any system programmed to learn, should seek a state were it can reflect in its internal operation processes at high and constant coherence level, exteriorly. (Begin to ask ­ what if there were a generalizable way to measure the overall INTERNAL coherence in any complex wave system. ­ : first peak amplitude of septrum / 2nd order FFT

These two aspects we just mentioned - fault tolerance and coherence in learning systems - are two key criteria whenever we want to implement any kind of flexible system. So, this is a typical computational problem associated with cognitive sciences, because the intelligence and the cognition are, by nature, dynamic: they strongly depend on the context (also dynamic) in which they work.

This adaptability is one of the characteristics that more easily enables us to distinguish a biological system from a merely logical non-living system, as is the case of a computer. If we look at it etymologically, the difference lies in the suffix "bio", which may be the expression of the essence of "life". In other words, the limits of the evolution of computational cognitive systems can be found, precisely in Nature, and also, even in the meaning of life. Life appears to be rational, yet slightly escapes from logic and suggests itself to us as something more than merely probabilistic. This may be the so-called "chaos frontier". This means that if in the future we completely understand it, then maybe we will be able to develop everything that today we only dream about.

However, this approach gets us face to face with (apparently) less scientific and more philosophical problems, and some times, even religious ones. This hinders the work of those that try limiting their investigation to only that which is tangible, measurable and not just intuitive and abstract. However, sciences such as physics already reached this stage and, forced into the inevitable approach of this more metaphysical perspective, they dove into "fields" that relate quantum mechanics with quite specific religious literature, as it is the case of Vedic texts and their exquisite approach to the nature of the universe.

Keeping our study in the measurable dimensions, let us try to elucidate a little bit more the nature of this problem. What is true for biology, is also true for the simple field of logic. This term, only lacks that element of life - the bio suffix- that we still don't know very well how to define. The prefix 'bio' is intimately related with the nature of consciousness itself. Therefore our concern focuses on discussing this theme.

If we intend to clarify all of the less clear aspects of the cognitive studies and all of the sciences that arise from them, namely the subject of memory and of learning, we must also in parallel study the area of neurobiology. However, here a problem shows may arise. Sometimes, it is not enough to be bounded to the study of one area. As we shall see, -in the nature and essence of biology and life force and awareness - their own nature lives beyond that ­ beyond the concepts that academically define it nowadays. It is correct that the understanding of the operation of cellular nets in the brain originated the development of countless processes in the areas of medicine and in computation, namely in neural nets, but as we will demonstrate, it is a mistake to end here. And, as a mistake, its repercussions are incalculable.

It is with this fundament that we intended to demonstrate that the approach of the Cognitive Sciences, only supported by the Neo-Darwinian and Newtonian vision of the world, is incomplete and limiting. The very nature of morpho-genesis - the growth of form from a single embryonic cell - demonstrates this dramatically and it allows us to reach conclusions that are precious to the future of this study.

Life exhibits an exceptional functioning from the evolutionary and systemic point of view. Biology is dynamic, flexible, and has fault tolerant systems. Above all, LIFE demonstrates memory capacities and fantastic cognition abilities, reaching, some believe, its maximum sophistication with Human Beings, some cetaceans and other extremely complex life forms.

The intelligence that shapes and steers biological morpho-genesis brings up unprecedented questions in the history of biology and physics. The structured growth of cellular matter is a process that, obviously, doesn't happen with inanimate matter. However, we say "obviously", but the mechanism, or the simple explanation that resides in that differentiation is still unclear. The actual physical knowledge of the universe is not capable to coherently explain morpho-genesis. Erwin Schrodinger and others acclaimed scientists say it peremptorily.


Later, the theory of morphogenetic fields was born among these questions ­ a located field situated inside and around a morphic unit, that organises its characteristic structure and activity pattern. These fields are behind the complexity levels of a unit of this nature. They are formed and stabilised by morphic resonance with other previous units (in time) that were on the influence of similar fields. Consequently, these new units contain a type of cumulative memory.

A morphic unit is destined to accomplish the "shape function", as well as organisation patterns. It can be an atom, a molecule, a crystal, a cell, a plant, an animal, a pattern of instinctive behaviour, even a social group, an ecosystem, a planet, a planetary system or even a galaxy. These units are organised in hierarchies of units inside of units. A crystal, for instance, contains molecules, which contain atoms, which contain electrons and nuclei, that contain nuclear particles, that contain quarks...

Fig.1-A crystal as a unit of morphic units

However, a few years ago, according to the vision that science had regarding the study of the morphogenesis, we were taken to believe that these fields could not include such units as a pattern of behaviour or even something more subjective such as a social group. The first biologists, due to faith in the supremacy of matter as the cause of all existence (upward causation), ignored such possibilities. It was later, with Rupert Sheldrake, with the presentation of his theory of morphic resonance, that the inclusion of morphic units based on non-local fields (non-locatable in space and time) appeared.

Such hypothesis is contrary to the newtonian vision of the universe, in which only local units (measurable) exist, and obviously, physically detectable. Nonetheless, morphogenesis grasps the field of teleology - the idea that a final purpose is guiding the system. Rupert Sheldrake integrated this concept in his study, as well as the non-locality principle of the fields and the non-materialistic perspective (downward causation). In general, the morphic fields proposed by Sheldrake have a purpose and they are non local. Therefore, they are not material. However, we know that matter, as an effect of a superior cause, is always affected by the principle of morphic resonance.

Fig.2-Downward Causation through the Ressonância Mórfica. Unlike the matter, the fields live at a dimension no-place.

Sheldrake suggests that as soon as a shape is created, its field is constantly reinforced by the replication of itself. This explains memory in morphogenesis. However, the origin of morphic fields is the main subject, and for us to analyse it, we will stay with the examples of live and local morphic units. Let us look at the following: the true problem of the morphogenesis is the nature/essence of non-locality, right? It is the problem of trying to explain how local interactions are capable of controlling a global development of a system. In other words, how, for instance, a cell in the neck knows where it is relative to the whole body, in such way that its function in shaping is properly activated so that it does what is necessary in the neck?

From the causal point of view of matter, the immediate deduction is the that a map of functions exists in the DNA of the cell. This could be a perfectly plausible explanation, if we didn't have the following problem: if that map really exists at cellular level, then how does a cell know that it must active only a specific function during shaping? Lets take a look at things in a different way: where is placed the information that tells the cell that it just needs to activate the functions relative to that part of the body where she lives? When our body was only two cells, where was that decisive information for the local recognition of the future evolution of the human shape? An implication shows up: there must exist a general map, a goal-plan that works non-localy, spatially and temporaly, so that a small DNA strand from that cell can be able to influence a vast group of cells in a macro-area of spatially defined volume, during the whole evolution of the biological being that it belongs to.

Force fields, unlike particle fields, form a continuous region, they are a whole. In them, an indivisible unit exists. If we cut an apple - a field of particles - in two parts, we will obtain two different half from that same unit. That half is different from the whole. However, if we cut a magnet in two, the magnetic field (force field) of each half is same as the first, the unit. This way, we will be able to obtain two fields of the same magnetic field and not two half of the original.

Rupert Sheldrake, unlike biologist C.H. Waddington, presented an interesting solution but not applicable to the reality of the morphogenesis for being totally locale ( consider "Waddington fields"). He suggests that the morphic field starts up the DNA in the cells, in the sense of guiding the choice of the functions (in the local map) that must be activated in the process of evolution of a biological shape. For him, DNA is a receiver and never a generator of information. Just as a radio receives a signal because it is tuned (it has a specific resonance) with an electromagnetic wave, in a similar way, DNA receives from morphogenetic fields the instructions for the activations of its codes.

_________________ Corrected Translation Ends Here ­ Gustavo Figueiredo

images and text complete in the original, awaiting translating..