2008-05-14
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Information: is structured
discernible difference which manifests within and moves between any
medium that is capable of manifesting two or more distinguishable
observables. Such a medium is termed an
information space.
Information Space:
is any medium that can contain information.
The information content within an
information space is encoded within a
structured field of discernible differences.
Information Content:
is limited by both the information
space's representational resolution and the observer's
perceptual resolution. The lack of perceptual resolution results in
information content that is unavailable,
which is entropy.
Observer:
is a perspective from which an observable
is defined. Types of observers are the computational
process and systems. Types of perspectives
are subjective perspective and
objective perspective.
Subjective Perspective:
is a perspective from which there are other equally valid but
different perspectives. Hence it is a perspective on a context that
only conveys information relative to a
particular observer. Systems
within an empirical context have a
subjective perspective. The inverse of this is objective
perspective.
Objective Perspective:
is a perspective from which there are NO other valid but different
perspectives. Hence it is the only truly valid perspective for an
observer of an information
space. The only objective observer is the
computational process within the
transcendent context. The inverse
of this is subjective perspective.
Entropy:
is structured indiscernible difference. It is information
that is unable to be meaningfully discerned.
Communication Process:
is a computational process that
structures the flow of information
between information spaces through
an information channel. The
process may change the representational format but preserves the
information
content. Communication can operate between any information
spaces or within a single information
space. Communication involves encoding information,
transmission, introduced noise from intervening
channels and decoding of information
into observables.
Information Channel: is a
simple information space that
provides a 'pipeline' through which information
flows in one direction from one information
space to another. This pipeline has an input and an output.
Observable: is information
that has been discerned and decoded by a computational
process thus resulting in something that has meaning to that
computational process. The
observable is defined from the perspective
of the observer.
Noise: is unstructured discernible
difference. It is information
that is unable to be meaningfully decoded.
Computational Process:
is a communication process that
is structured by information
(the program),
which transforms the communicated
information.
It consists of discrete computation
events. It can manifest and operate within any information
space and often operates within a single information
space to produce a computational
space. All of the above concepts involve some subjective
factor, such as 'discernible' or 'indiscernible' difference,
'observable', “observer's
perceptual” resolution and 'decoding'. Computation is the
subjective element implied by
all of these subjective
factors. For example, a single stream of information
may be entropy or noise
in relation to one computational process but a different
computational process may discern or decode the information
stream, so in relation to the latter process the stream is
information rather than entropy
or noise. Computation is the active element
within the passive information space;
it discerns the difference, decodes the observables,
and 'experiences' a programmed response that
may change an observable, which is then
encoded and communicated
(perhaps back into a computational
space). Also see observer and system.
Bandwidth:
is the quantity of information that flows
through a information channel
within a given number of computation
events.
Computation Event:
is a single discrete operation within a computational
process.
Computational Space: is
an information space that is
operated on and animated by a 'resident' computational
process. It may communicate
with other information spaces or
computational spaces via information
channels. It can store and operate on information
content using information
processes.
Program:
is information content within a
computational space that
structures a computational process.
Information Process: is a
dynamic, structured pattern of information
content and program
within a computational space. Also
see system.
Transcendent Context: is
a closed computational space
wherein the perceptual resolution of the computational
process is equal to the representational resolution of the
information space,
so there is zero noise or entropy.
Within this computational space
there is information content
flowing between sub-spaces whilst being transformed by the
computational process. Thus
information objects and information
processes exist within that information
space and are animated by that computational
process thus undergoing coherent change or dynamical evolution.
The transcendent context underlies the existence of an empirical
context. In a transcendent context the only subjective
element is the single computational
process that animates the transcendent computational
space so all subjective
factors are defined from that perspective. There is therefore, in
this context, an uncontested (absolute) perspective from which to
determine all concepts and quantities so this context is considered
to be an objective context
because there are no clashes of perspective so for all intents and
purposes things are how they seem to the observer
in that context. In regards to transcendent observables
and information processes the
transcendent context is dualist, but in
relation to systems (empirical
objects and processes) it is non-dualist.
Empirical Context: is a
virtual space represented by information
content and animated by the computational
process within a transcendent
context, however it is defined from the perspective of empirical
systems within a universe.
The systems have varying perceptual resolutions
and are connected into a complex
network of interacting systems (a universe)
so from each empirical perspective there is both entropy
and noise. Within this virtual space, from the
subjective empirical
perspective of a system embedded within the
universe, there are observables
and observation events. Thus systems
with observable states exist and experience
observation events within that
virtual space. In this context every system has
a subjective perspective from
which its empirical context is defined. There
is therefore, in this context, NO uncontested (absolute) perspective
from which to determine all concepts and quantities; everything is
relative. Because of this the empirical context is considered to be a
subjective context because
there are clashes of perspective and things are not how they seem.
There are many perspectives but they only reveal subjective
empirical observables that are just
partially discerned, partially decoded and largely distorted
interpretations of the absolute underlying transcendent
information. In regards to systems
(empirical objects and processes) the empirical context is dualist
and from an empirical context the transcendent
observables and information
processes are not directly discernible other than through
inner-perception (resulting in
experiences of spirits, angels, bodhisattvas, ghosts, etc that have a
dualist form but of a transcendent nature).
Hence from an empirical perspective the transcendent
context seems to be a mostly invisible, non-dualist
but also dualist, all pervading influence that
operates “behind the scenes” of the universe
(known to some as Akasha or the Akashic Field).
Dualist:
is when a context contains distinct entities that bare distinct
relations with each other. Both transcendent
and empirical contexts are dualist
on their native level. The inverse of this is non-dualist.
Non-Dualist:
is when a context contains NO distinct entities that bare distinct
relations with each other. Empirical
systems are represented in a non-dual manner
within the transcendent context
so it appears to be non-dual to an empirical
observer. The inverse of this is dualist.
Universe:
is the network of all systems within an
empirical context. It has a fractal
structure, with multi-level systemic self-similarity. From a system's
subjective perspective within
the network of systems the universe is
experienced as an all encompassing existential context, it is their
“physical universe”.
System: is a transcendent
information process conceived of
from a general empirical
perspective. It is a system within a universal
network of systems. It is an observable
form as well as an observer
within the empirical
context. In this sense it has an outer
aspect and an inner aspect. It is a
participant in empirical
dynamics which are just the transcendent
dynamics conceived of from an empirical
perspective. A system is an empirical
subject and has some perspective from which various concepts and
quantities can be defined, such as information,
entropy,
noise and so on. A system is one participant
amongst many within a universe, hence its
definitions of concepts and quantities is only relative to its
perspective. The concept system exists only
within the empirical
context, when in the transcendent
context they are conceived of as information
processes.
Inner Aspect: of a system
is the operation of the transcendent
computational process as it
animates the system. It is conceived of from an
empirical
perspective as pure awareness, direct experience or proto
consciousness. As systems increase in
complexity the complexity of both inner
and outer aspects increases. What we call
consciousness and mind are complex
inner aspects.
Outer Aspect: is the empirical
observable form of a system's
transcendent information
content. It is a subjective
view that depends on the particular observer's
perspective. It is an object of perception and is experienced as an
object within the experiential (empirical)
context. It is an output interface by which information
is communicated
to be decoded as observables by other
systems.
Observation Event: is a
single discrete operation of a system's inner
aspect that discerns, decodes and experiences an observable.
This is an experience of present moment awareness but becomes
overlaid with empiricist
interpretation. It is conceived of from an empirical
perspective as a single moment in time and the succession of these
moments combined with the propagation of their information
through information channels
(which serve as memory) results in the empirical
experience of the flow of time.
Interaction: is a communication
process between systems that allows them to
experience each others observables and to
respond by changing their own observables.
Finite & Discrete: is a
proposition that within any realisable information
space there will be a finite number of distinguishable
observables. This would mean that no
manifest form or process (system) within an
empirical
universe could be infinitely
large, infinitely small, infinitely
complex or infinitely
detailed. This implies that the universe
will be quantised and relativistic. It also concludes the existence
of atomic systems and precludes the
existence of any actual infinity within an empirical
universe. Hence there are a finite number of
atomic systems that exhibit a finite
range of discrete observables. In this
sense the unified paradigm is partly
a reductionist perspective but it also
explicitly comprehends the unified structure of all things and the
role of the observer in the creation of the
universe, hence it is also partly a holistic
perspective.
Reductionist: is an approach
that conceives of atomic parts that
interact to create complex parts and
the whole (empirical
universe) is just the collection of all
systems and interactions.
The inverse of this is holistic.
Holistic: is an approach that
conceives of a single unified whole (transcendent
computational space) wherein there
are dynamic patterns (information
processes) and the parts are just discernible features
(observables relating to complex
systems) that can be resolved by observers
from various perspectives. The inverse of this is reductionist.
Unified Paradigm: is a
paradigm that comprehends all other paradigms and relates each to the
other. The information
system paradigm presented here is a unified
paradigm because it unifies information
and computation, object and
process, transcendent and
empirical,
reductionist and holistic,
dualist
and non-dualist,
subjective and objective,
spiritual and physical, atomic and
universal, quantum and classical, and more.
Infinity: Only potential infinity is
possible, for example, the space of all words of any length is
infinitely large but we only ever manifest a finite number of words
at any one time and as the words get longer it gets more difficult to
manifest them so it is fundamentally impossible to manifest an actual
infinity of words. This general principle applies to all information
processes due to their finite &
discrete information spaces,
which result in quantised and relativistic empirical
contexts.
Atomic System: is a system
that has no subsystems. It is an atomic
information process so it has only
a single atomic information
object (observable, outer
aspect) and a single atomic computational
process (observer,
inner aspect). An example of a primitive
system is a single bit in a computer. Its
atomic observable has the state zero or one
and its atomic computational process
is a simple read/write interface with the observable
so that information
can be stored or retrieved from that atomic computational
process. So an atomic system is an atomic
observable as well as an atomic observer
that is only able to discern single atomic observables.
The concept atomic system exists only within
the empirical
context, when in the transcendent
context they are conceived of as atomic information
processes that operate on atomic observables
and participate in complex networks of atomic information
processes within the transcendent
computational space.
Complex System: is the product
of a meta system transition. In
the empirical context it is a system that has
subsystems. It is a complex information
process so it has multiple atomic or complex information
objects (observables, outer
aspects) and multiple atomic or complex computational
processes (observers,
inner aspects). An example of a complex
system is a computer. Its complex observable
form can be in many different states and its complex computational
process can manifest a variety of simple and complex information
processes. So a complex system is a complex
observable as well as a complex observer
that is able to discern multiple simple and complex observables.
A complex system is composed of a network of
interacting subsystems and it participates in a
network of interacting systems to form
supersystems via a process called meta
system transition. The concept “complex system”
exists only within the empirical
context, when in the transcendent
context they are conceived of as complex information
processes which have no inherent hierarchical structure of
subprocesses within superprocesses, they are just a flat network of
atomic processes.
Meta System Transition (MST): is a process
conceived of from an empirical
perspective whereby simple forms seem to integrate to produce more
complex forms. This applies to both a
system's outer and inner
aspect. In regards to outer aspect, a
system's limited perceptual or experiential
resolution means that incident information
becomes entropy
and the finer detailed observables in a
complex network of systems
are blurred into a macroscopic observable
that appears to the observer
to be a single complex system. Thus it appears that a group of
subsystems have interacted and integrated into
a single complex supersystem. However in the
transcendent context nothing has
fundamentally changed, some interaction
bandwidths may change but there is still
just a field of interacting atomic
systems, only the empirical
observable changes during an MST. In
regards to inner aspect, a complex
system may experience a complex yet integrated inner
aspect (such as human consciousness). This too is a product of a
MST, whereby entropy within the system's
inner network of sub systems
and the associated inner computational
processes causes the mass of interacting
sub-processes to be experienced as a single super-process. MST is an
empirical perceptual illusion that
causes a system to experience a complex network
of systems as a single complex
system, both from within and from without.
SMN related concepts directly extend these general concepts and
will be defined shortly...
Before joining the conversation, please read and accept this Invitation to a Conversation.
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