Process Physics
This article may need to be reworded to conform to a neutral point of view; however, the neutrality of this article is not necessarily disputed.
Process Physics is a model of reality that replaces General relativity and unifies it with quantum theory. The limitations of formal information systems discovered by Godel, Turing and Chaitin, are used to replace the geometric modelling of time constructed by Galileo, Newton and Einstein, and to account for the measurement process in quantum theory.
In process physics the fundamental assumption is that reality is modelled as self-organising semantic information, that is, information that is ‘internally’ meaningful, using a self-referentially limited neural network model. Such a system has no prior objects or laws, and is evolved using a bootstrap system (see next section). Process physics demonstrates that space and quantum physics are emergent and unified, with time a distinct non-geometric process, that quantum phenomena are caused by fractal topological defects embedded in and forming a growing three-dimensional fractal process-space, which is essentially a quantum foam. Other features are explanations of inertia, time dilation effects, gravity and the equivalence principle, a growing universe with a cosmological constant, black holes and event horizons, the arrow of time and the 'now' effect and the emergence of classicality.
The founder of process physics, Reginald Cahill, praises Heraclitus of Ephesus, the Greek philosopher, as the first process physicist, who argued that common sense is mistaken in thinking that the world consists of stable 'things', rather the world is in a state of flux and the appearance of 'things' depend upon this flux for their continuity and identity. So process physics has also been described as a Heraclitean Process System, with the flux identified with self-referential noise.
Process physics comes together with physics, automata theory, and Cognitive science into a holistic area known as Generative sciences, towards the unification of all systematic knowledge about the universe and the world.
The Bootstrap process
Reality can be modelled in Process Physics as a self-referentially limited neural network which results in emergent quantum behaviour, and unifies space and quantum phenomena. It is a semantic information system and is devoid of objects and their laws and so it requires a subtle bootstrap mechanism to set it up. This mechanism uses nodes and link variables that form a fractal structure that use a non-linear iterative system for the link values. These iterations amount to the necessity to introduce a time-like process. Any system possessing ‘objects’ can never be fundamental as the explanation of such objects must be outside the system. Hence in process physics the absence of intrinsic undefined objects is linked with the phenomena of time, involving as it does an ordering of ‘states’, the present moment effect, and the distinction between past and present. Unlike geometrical models process-time does model the 'Now' effect. Process physics also shows that time cannot be modelled by any other structure, other than a time-like process, an iterative scheme. There is nothing like time available for its modelling. The near obsession of theoretical physicists with the geometrical modelling of time, and its accompanying notion of determinism, has done much to retard the development of physics. The success of process physics implies that time along with self-referencing is in some sense prior to the other phenomena, and certainly prior to space, as will be seen.
Stochastic neural networks so far have been realised with one particular scheme involving a stochastic non-linear matrix iteration. The inverse of the matrix then models self referencing in that it requires all elements of the matrix to compute any one element of the inverse matrix. As it is the additive self-referential noise which limits the self-referential information but, significantly, also acts in such a way that the network is innovative in the sense of generating semantic information, that is information which is internally meaningful. The emergent behaviour is completely generic in that it is not suggested that reality is a computation, rather it appears that reality has the form of an self-referential order-disorder information system. It is important to note that process physics is a non-reductionist modelling of reality, the basic iterator is premised on the general assumption that reality is sufficiently complex that self-referencing occurs, and that this has limitations. At higher emergent levels this self-referencing manifests itself as interactions between emergent patterns, but other novel effects may also arise.
To see the nature of this internally generated information consider a node involved in a strong connection to another node, it will be connected via other strong connections to a number of other nodes and so on, and this whole set of connected nodes forms a connected random graph unit called a gebit as it acts as a small piece or 'bit' of geometry formed from random information links and from which the process-space is self-assembled. The gebits compete for new links and undergo mutations. Process physics is remarkably analogous in its operation to biological systems. The reason for this is clear, both reality and subsystems of reality must use semantic information processing to maintain existence, and symbol manipulating systems are totally unsuited to this need, and are in fact totally contrived.
Over ongoing iterations the existing gebits become cross-linked and eventually lose their ability to undergo further linking i.e. they lose their ‘stickiness’ and decay. Hence the emergent space is 3D but is continually undergoing replacement of its component gebits; it is an informational process-space, in sharp distinction to the non-process continuum geometrical spaces that have played a dominant role in modelling physical space. If the noise is ‘turned off’ then this emergent dissipative space will decay and cease to exist. We thus see that the nature of space is deeply related to the logic of the limitations of logic, as implemented as a self-referentially limited neural network.
Space and Matter
Process physics models reality where space is emergent and three dimentional. The expansion of space is build into the model and does not require a form of dark energy. It does not indeed need the notion of a Big Bang as space is created from the self-referential noise of the universe. This leads us to conclusion that the 'Big Bang' (ie the creation of the space we live in) is not a unique occurence and an infinite 'Big Bangs' have been created but we just happen to live in a universe that started some 13 billion years ago.
Matter is also made of the same substance as space but consists of topolgical defects that persist over time, even though its constituent parts are continuously being replaced over time. Matter has the charactaristic of allowing normal space to 'sink' into it. This describes gravity as a 'flow' of space into matter. The space between massive objects can be seen as contracting and therefore moving them together. The 'warping' of space as described in General Relativity can be seen as the in-flow of space into matter giving rise to the bending of light and other effects.
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