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22 January 2008
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20 January 2008
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Development Chapter 3 Physics page
6:
Invariance
with respect to complexity
Cantor generated the transfinite
cardinal numbers (and their associated ordinals) through an
invariance law which operates identically no matter what the
cardinal number of the set upon which it operates. We call
this feature invariance with
respect to complexity and
see that it is a feature of quantum mechanics also. Since
quantum theory operates indifferently at al levels of
complexity it provides a bridge between the unity and
multiplicity of the universe.
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18 January 2008
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Development Chapter 3 Physics page
5:
Hilbert
spaces and the symmetric network
We have proposed a transfinite
symmetric network as a phase space for the universe.
Transfinite
network Here we place this
network into correspondence with the transfinite dimensional
Hilbert space which houses the 'wave function of the
universe' and show how quantum mechanics serves as a method
to compute the traffic between nodes of the transfinite
network.
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16 January 2008
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Development Chapter 3 Physics page
4:
Quantum
mechanics
Quantum mechanics is the modern
working model of the physical universe. It sees the world as
comprising observable physical events and an unobservable
logical structures, state functions, which control (to some
degree) the nature and frequency of events. The quantum
mechanical formalism is invariant with respect to complexity
and can apply to any layer in the transfinite network. From
an information theoretic point of view, quantum mechanical
systems can be viewed as message sources.
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9 December 2007
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Development Chapter 3 Physics page
3:
The
initial singularity
The large scale structure of the
universe is described by the general theory of relativity
which predicts that the present universe expanded from an
initial dimensionless point. In the network model, we
interpret gravitation as a manifestation of the hardware
layer of the universal network. Following an analogy with
the theology of the Trinity, we propose a model for the
growth of the universal network.
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9 December 2007
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Development Chapter 3 Physics page
2
Why
is the universe quantized?
Quantum mechanics sees the world as
comprising discrete observable physical events controlled by
invisible and continuous state functions which explain the
nature and frequency of observed events. In the network
model, the mathematical theory of communication explains
quantization by showing that we can minimize error by
maximizing the distance between different messages.
Quantization is thus a feature of error resistant
communication.
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9 December 2007
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Development Chapter 3 Physics page
1:
Action
and Time
Following our method, we begin to
construct a map between our model and the real world. We
begin with physics because it studies the simplest elements
of the world. The first point of contact between our model
and physics is the identification of action with
computation, Drawing on quantum theory, we identify the time
rate of action with energy. back
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9 December 2007
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Development Chapter 3
Physics:
Introduction
If we assume that the universe is
divine, physics is the study of God's body. The body is the
most abstract, that is the least complex, of the layers of
complexity in the structure of the universe. Physics sets
the stage by providing the alphabet for all other levels of
complexity.
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9 December 2007
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Development Chapter 2 Model page
12:
Is
the transfinite network isomorphic with mathematics?
Since we assume that the universe
is God, we assume that the only constraint on the existence
of the universe is that it be consistent. Since we have
already noticed that this is the only constraint on
mathematics, we are led to an important assumption: that
the visible universe is
effectively mathematics incarnate. (= made dynamic)
Mathematical
theology,
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12 December 2007
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Development Chapter 2 Model page
11:
Knowledge
None of this discussion would be
happening without knowledge. We know things and we can talk
about them. Knowledge is part of the world which represents
some other part of the world in a simplified and compressed
form. Organisms share knowledge by communication. Such
sharing is the foundation of creation and fitness.
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9 December 2007
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Development Chapter 2 Model page
10:
Entropy
The ancients imagined a gulf
between the spiritual world of human imagination and
communication and the physical world. This led to the idea
that we are immortal spirits somehow trapped in a temporary
material environment. Here, in contrast, we espouse
Landauer's conjecture that information in physical. The
spiritual element of the world resides in the real
relationships between the physical elements of the universe.
Entropy measures the amount of information embodied in these
relationships.
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26 November 2007
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Development Chapter 2 Model page
9:
Selection
The maintenance of stable structure
requires computing power, which is limited. As a result
there is strong competition for the physical resources that
make computation possible. This competition selects for
organisms which are best able to maintain themselves, which
is tantamount to election for the most efficient algorithms
for life in each environment.
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22 November 2007
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Development Chapter 2 Model page
8:
Complexification
The amount of information carried
by a point in a space is equal to the entropy of that space.
The space of our universeis expanding and it has a strong
tendency to increase its entropy . What is the source of
this increase? The answer lies in the Cantor force, a consequence of Cantor's proof that
beyond every transfinite number lies a greater
number.
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21 November 2007
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Development Chapter 2 Model page
7:
Constraint
So far we have learnt nothing,
since the model is just the biggest symbolic system I can
imagine, a transfinite network. Such a network looks rather
like chaos, in which every possible event is equally likely.
The world is nothing like this. Some things happen
frequently, some rarely, some, perhaps, never. We propose
that constraint responsible for this structure is the
limited power of a Turing machine in a transfinite
context
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21 November 2007
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Development Chapter 2 Model page
6:
Simplicity
The structure we have imagined on
pages 1, 2 , 3 and 4 is exceedingly complex. The ancient
view, however, is that God is simple. How to we reconcile or
model with tradition? The answer chosen is that our formal
mathematical structure simply describes certain stationary
points in the life of the universe, ie the life of god.
Dynamically, the universe is a seamless whole.
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20 November 2007
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Development Chapter 2 Model page
5
A
transfinite computer network
A communication network can model a
permutation group. We interpret a Cantor universe populated
with Turing machines as a network, whose layers are measured
by the transfinite numbers. The hardware level of this
network, represented by the natural numbers, has a high
degree of symmetry, and is studied by arithmetic and
physics. Higher levels, which may represent things like
bacteria or politics, are much more complex, but still
exhibit useful symmetries which may be traced to the theory
of communication and the structure of the network.
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20 November 2007
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Development Chapter 2 Model page
4:
Computation
Hilbert thought there was no limit
to the possibilities of formal mathematics. Goedel and
Turing showed that this was not so. Regions of completeness
and computability in mathematics are relatively tiny.
Computability is a scarce and valuable resource in the
mathematical realm.
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19 November 2007
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Development Chapter 2 Model page
3:
Logical continuity
We distinguish two types of
continuity, the physical continuity suggested by smooth
motion through space, and the continuity of logical
argument. We suggest that the universe of logically
consistent functions is much bigger than the universe of
continuous functions, and so more appropriate for modelling
the whole.
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18 November 2007
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Development Chapter 2 Model page
2:
Immensity
All agree that god is big. Physics
has already taught us that natural language is too small to
describe the universe, and must be augmented with
mathematics. To model god, therefore, we look for the
biggest mathematical structures. Our starting point is the
Cantor Universe, the space of transfinite numbers discovered
by Georg Cantor in his efforts to understand the
relationship between continuous and discrete
quantities.
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18 November 2007
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Development Chapter 2 Model page
1:
God
A brief history of my personal god
from ancient times until the present. My starting point is
the traditional Christian model of God. My purpose is to
develop and test a new model of god. The most important
feature of this model is that it brings us close to god. If
the universe is divine, every experience in life is an
experience of god.
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17 November 2007
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Development Chapter 2 Model
Introduction
Here we set out to develop models
to help us understand the world and plan successful action.
The ancient religions teach that a successful life is the
result of pleasing an invisible god. Locally, his god is
often an abstract version of the reigning political power.
Here, given our assumption that 'universe' and 'divinity'
mean the same thing, we seek a model which embraces all the
physical and spiritual features of the the world.
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Development Chapter 1 Epistemology
page 8:
Security:
Our security depends upon
understanding our environment. The ancient theory that the
world is the creation of an mysterious God who has left
vague instructions for our wellbeing is no longer tenable.
The environment we must know to survive is always before our
eyes, and we need a scientific theology to understand it
comprehensively.
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Development Chapter 1 Epistemology
page 7:
Limits
to knowledge: What are the limits
to human knowledge? Can we know everything? The theory of
relativity tells us that certain parts of the universe are
hidden from us by event horizons. Many other things are
similarly hidden from us by our inability to communicate
with them. In addition, we may identify a need for secrecy,
where communication would decrease the fitness of an
individual. We may contrast the need for secrecy and the
need to know, both based on the value of knowledge to
life.
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Development Chapter 1 Epistemology
page 6:
Evidence:
Although things may look good and seem
reasonable, we need to test them to be sure of them. The
foundation of trust is evidence that the person or thing
trusted has passed a complete set of relevant tests. The
future remains to some degree uncertain, however. A dog
which has never bitten may yet bite, so our search for
complete security is never fully complete.
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Development Chapter 1 Epistemology
page 5:
Honesty
and deception: Am I telling the
truth? Is nn telling the truth? These can often be
important questions, especially in matters of love and war.
We assume that physical things always tell the truth, and
that people who are deceived about them are not looking at
them in the right way. On the other hand, evolutionary
theory suggests that deceptions is a common feature of
survival strategies.
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17 November 2007
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Development Chapter 1 Epistemology
page 4:
Truth:
What is true? Something that says it
as it is. So if there are 100 litres of fuel in the tank, a
true fuel gauge reads '100 litres'. We trust what we know to
be true. If the gauge is dodgy, it may read one hundred
litres when in fact the tank holds but fifty, and the pilot
may be doomed to run out of power before she comes to a
landing place. The only way we can decide if something is
true is to devise a method of testing it.
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19 June 2007
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Development Chapter 1 Epistemology
page
3:
Scientific method: Scientific
method is the modern standard approach to quality knowledge.
Science gives primacy to evidence, and encourages the free
use of imagination to develop hypotheses (stories) to fit
the evidence. We learn to act without explicit understanding
of what we are doing. One can speak without knowing
linguistics, and walk while ignorant of dynamics and
physiology. Science makes the information content of our
arts explicit, so that our skills can be honed.
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Development Chapter 1 Epistemology
page 2:
Abstraction:
Mathematics lies in the imaginative
(theoretical) realm of science. The beauty of mathematics is
that is is an armchair science. We can do it with pencil and
paper without going out into the world and getting wet and
dirty. In mathematics, we simply write symbols on paper, and
the move them round, either physically or mentally in order
to understand their behaviour. This provides both the
strength and weakness of mathematics: its strength is that
it is very clear and controlled; its weakness that it does
not necessarily have anything to do with the observable
world.
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Development Chapter 1 Epistemology
page 1:
Trust:
Is there life after death? Is this dog
going to bite me? Is this structure strong enough to hold
me? Will this person repay me if I lend him money? Should I
go to war to save my country from what our government claims
is a clear and present danger? All these are questions of
faith and trust, and bear more or less on the fitness and
survival of individuals and communities. Is it reasonable to
believe this communication?
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Development Chapter 1 Epistemology
Introduction
Our survival, health and happiness
depend very much on the way we act. In general we call the
control of action art, or 'knowhow', something we learnt by
study and practice. Art is informed by knowledge, and the
quality of our art relates to the quality of our knowledge.
Epistemology is the science responsible for quality control
in the knowledge industry.
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