Artificial Intelligence....
The Symmetry, Self-Similarity and Recursivity theory of Brain and Mind
This brain theory that is in the process
of being revealed to world may also be given the longer title of, ‘The
Symmetry, Self-Similarity and Recursivity theory of Brain and Mind’.
This is quite an effort to say, and so it is a useful and convenient
shorthand to refer to the theory as the ‘Fractal Brain Theory’. The word
Fractal implies Symmetry, Self-Similarity and Recursivity so the title
‘Fractal Brain Theory’ is an entirely appropriate as well as useful
shorthand. We’ll go through each of these foundational concepts in turn
in order to give a better idea of the significance and power of the
Fractal Brain Theory.
Symmetry
Symmetry is such an amazingly powerful
idea. In fact if the entire process of science had to be summed up in a
single word, then a good candidate for this word would be ‘symmetry’.
Science can be said to be the process of discovering the patterns of
nature and the Universe. But it is more than that, because science is
also the process of discovering the patterns behind the patterns. That
is, the meta-patterns and unifying patterns, which show us how all the
seemingly separate patterns are really manifestations of the same
underlying pattern. And so we have the same problem in the brain, where
we are confronted with a dizzying and myriad array of facts and findings
with no obvious and apparent way of seeing any overarching pattern
behind it all. So it makes perfect sense that the idea of symmetry
should be applicable. Indeed if symmetry is behind the very process of
science itself, then why should the search for a scientific
understanding of the brain be any other way? And so then the problem
becomes, how to apply this powerful concept towards that goal and this
is not at all obvious. The specific ways that the symmetries behind the
law of physics are explored in science, don’t translate in any sort of
direct or intuitive way to the study of the brain. The symmetry of
mathematical equations or of regular geometric forms, seems far removed
from the organic messiness and irregularities of biology and brain. And
at first glance and superficial inspection, the brain seems so full of
asymmetry and dissymmetry. So one of the problems that the fractal brain
theory solves and is how to interpret the brain and mind, using some of
the most cutting edge findings in neuroscience and some bridging ideas
from mathematics, in order to see clearly the underlying and unifying
symmetries behind it all. Physicist believe that there is an overarching
‘supersymmetry’ that unifies all the natural laws of the Universe,
though this idea is still in the process of being fully worked out. By
the same token, the Fractal Brain Theory is able show that likewise
there is an overarching symmetry that is able to explain and account for
all the diverse phenomena of brain and mind. With this underlying
symmetry we are able to reduce all the vast complexities of the brain
and mind into a very elegant and compact description. And so symmetry
forms an important foundation of the brain theory.
Self-similarity
The
idea of Self Similarity is synonymous with idea of something being
‘fractal’, hence the name Fractal Brain Theory. An object that is
self-similar or fractal contains smaller copies of its overall form
within itself repeated and at many smaller scales. A useful way of
looking at self-similarity is to think of it as nested symmetry, where a
pattern repeatedly contains copies of itself within itself. A much used
example of self similarity is that of a tree, where the diverging
pattern of branchings coming off the main trunk is repeated in a similar
way in its branches and even in the veins of its leaves. So a tree can
be described as self similar and fractal. Fractal geometry which was
discovered in the 1970s has been called the geometry of nature.
Tradition geometry deals with straight lines, regular triangles,
squares, circles and the like. Fractal geometry seems far better suited
to describing complex natural forms such as mountains, clouds and
snowflakes; as well as organic structures such as plants, animals,
people and even entire cities. It is even suggested by leading
scientists that the entire universe may have fractal structuring. And so
quite appropriately the Fractal Brain theory is the application of the
idea of self-similarity in the context of understanding the natural
phenomenon of brain and mind. It is an approach which has been suggested
and tried before in the past few decades but which came up against
hurdles which at the time seemed insurmountable. And on superficial
inspection and with a limited understanding of the brain, then it is not
at all apparent that the brain can be understood as being fractal. But
with the benefit of recent empirical findings from neuroscience and a
novel way of interpreting the data, then the Fractal Brain Theory is
able to show how indeed the brain and mind can be conceptualised as
being perfectly fractal and completely self-similar. And this sets up a
lot of the conceptual groundwork for the brain theory and gives the
theory its organizing principle..
Recursivity
Recursivity
really is a universal process and the process of life itself can be
considered as recursive. The process by which life comes into being,
starting from a fertilized egg, dividing into two, then recursively and
repeatedly dividing into 4, 8, 16 and so on, to give rise to all the
cells in your body, this is an example of a recursive process. And the
process of sexual reproduction, and the diverging and converging lines
of family trees, generation recursively following upon generation is
another example of recursion. Some thinkers even imagine the entire
Universe and everything that happens in it as one big recursive process,
so the idea of recursivity is pretty deep. Recursivity is a key concept
that underlies computer science and the workings of all computers. The
Fractal Brain theory shows that this phenomenon of recursivity is
fundamental for understanding how the brain and mind works.
Three breakthroughs: A unifying language, unifying structure & unifying process
The
fractal brain theory is the systematically application of the
fundamental principles of symmetry, self-similarity and recursivity
towards the understanding of brain and mind. And this leads to three
major scientific breakthroughs, which we’ll elaborate in turn…
A Single Unified Language
The
first of our breakthrough concepts has been anticipated. It is a way of
describing not just all the structures and processes of the physical
substrate of the brain but also all the various emergent structures and
processes of mind; using a single unifying language. So for instance the
1996 publication, ‘Fractals of Brain, Fractals of Mind: In search of a Symmetry Bond’,
described the existence of a ‘secret symmetry’, secret in the sense of
being at that point undiscovered, which would allow us to conceptualize
the brain and mind as a single continuum and describe it in the same
language. This is the ‘symmetry bond’ referred to in the books title.
Professor of Psychology and commentator on all things AI, Gary Marcus,
described recently in 2014 how useful it would be to gain a unified
description of brain and mind, and how this could potentially
revolutionize the field. With the coming of the Fractal Brain Theory,
the ‘secret symmetry’ is secret no more. We have now exactly this
unifying language for describing all aspects of brain as well as mind.
It is also a descriptive language which is supported by a vast array of
empirical evidence, which suggests that it is not something ad hoc or
arbitrary but rather one which reflects fundamental truths about how the
brain and mind work. Indeed one of the strengths of the fractal brain
theory is that it does take into account and incorporates a vast array
of empirical facts and findings from neuroscience and psychology. It
uses the unifying language to describe in a common format, all this vast
diversity of information. This leads to the second major breakthrough
the brain theory enables..
A Single Unifying Structure
Intuitive we know that there must be some
sort of unity and integrated structure behind the brain and mind. This
is because we know that somehow, all the various myriad aspects of our
brains and minds must work together in an unified and coordinated way to
achieve our goals and objectives. We know from our experience and
introspection that this must be the case, we have this personal sense of
oneness and singular wholeness that gives us the impression of self and
identity. But it has been very problematic for brain scientists and
artificial intelligence researchers to work out how exactly this is the
case physiologically and how this may be implemented. Neuroscience
exists as an ocean of facts and findings, with no obvious way to fit
them all into a unified understanding. In 1979, Francis Crick of DNA
fame, wrote that in relation to brain science, “what is conspicuously lacking is a broad framework of ideas in which to interpret these various concepts.” 35
years later, this unifying theoretical framework still seems to be
missing. Neuroscientists Henry Markram’s much publicized and very well
funded billion euro brain simulation project can be seen as an attempt
to integrate all the knowledge of neuroscience which exists into some
sort of integrated whole. Here the aim is to merely to bring all the
neuroscience together in order to program it into a big computer
simulation, but without any theoretical underpinning behind it
whatsoever. A leading artificial intelligence researcher named Ben
Geotzel is attempting to bring together a lot of existing partial
solutions and previous attempts at AI, but is facing an ‘integration
bottleneck’, without any clear way to make all the separate pieces fit
and work together sensibly.
In
contrast what the Fractal Brain Theory introduces is a very elegant way
of arranging all the various aspects of brain and mind, and fitting
them all together into a single top-down hierarchical classification
structure. This partly derives from the having a single unifying
language with which to describe everything. By having a common
description for all the separate pieces of the puzzle, this is the
prerequisite for fitting all the pieces together into a single
structure. Furthermore this unified classification structure also
derives from what we know about hierarchical representations and
relationships in the brain as suggested by the actual neurophysiological
substrate and experimental findings. This gives us a very powerfully
integrated and all encompassing overview of brain organization and the
emergent structures of the mind which are grounded in the
neurophysiological substrate. It is an important step to fully
understanding the brain and the creation of true artificial
intelligence. After all, many of the biggest names in AI and theoretical
neuroscience stress the importance of hierarchical representations and
processes. What the fractal brain theory is able show is that the
entirety of brain and mind may be conceptualized as a single tightly
integrated and all encompassing hierarchical structure.
The
single all encompassing structure of brain and mind in turn leads to
the third, final and most dramatic breakthrough which the fractal brain
theory delivers. Given our all encompassing unifying structure we may
then ask, is it possible to define a single overarching process over
that structure which captures all the separate processes happening
within it. Or put another way, if we can represent the entire brain and
mind as a single integrated data structure, then is it possible to
specify a single algorithm over that data structure, which captures the
functionality of all the partial algorithms of brain and mind? And the
answer is yes.
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