meta

Here I reference what my content is about.

Research

I want to put my theories etc. up for peer review and a coordinated synchronization of content with generic authorship ‘mwd’.

In other words I propose a sceletal structure meta-scale system around which organs are described which need to evolve in order for the structure to become a computation theory and its computation ultimately a generative evolution of the subcomplex subsystems.

Later, corresponding to algorithmic defined organs I describe electromechanic and meta-material topolological extensions of computation as NN architectures into physics.

SciF

As the content I work on is synthetic, I use a canonical gamification theory (derived from the LMR logic I propose) to model complex error functions and hyperheuristic recovery function with boundary xD

Language

Physics


NN architectures are canonically non-von-Neumann automatons that contain complete descriptions of von-Neumann systems, their dynamics, a type theory about automaton theories and their discussions (distributions) and a transitive link to the automatons degree of iteration of self-reference about its existence and its theory as a codomain of a domain which is a supersystem that contains

iteration about . into 4th dimension. A Maxwellsdragon is an artificial global optimum alignment of sub-optimal theory within probability density of maximal reduction and can be treated as zeros for given field theory. For network embedding I need coop.


Let multiplex be an operation.

Let dream be a function.


Let X be constituent of a logic, then X as has a generation x which we identify as particle x.

Let f:(X↦x) be a generic mapping in a given type theory T.

Let x have an expansion x→D to a domain D which we identify as dimension d if observed.

We identify as error function of x→D the type theory T(x→D, ⊢ M³ which is a partition of a mapper M³ of a function ℓ°.

with an assciated math system containing S(U). dream(x→D) and multiplex of dream(x→D) and (x→D).

For xd4 to be a type-cardinality it must be sourced and cosynchro operated. (the operation must be quantified by a positive meta-system feedback.


error function erf z is given by a complex domain of λX, δX and δX. We call a relation to this domain a pretemporal computationary core

The multiplex within computational cores is marked as λX · δX · δX.

We refer to their coordinated synchronization (cosynchro)

ble defined as:[1][2] erf ⁡ z = 2 π ∫ 0 z e − t 2 d t . {\displaystyle \operatorname {erf} z={\frac {2}{\sqrt {\pi }}}\int _{0}^{z}e^{-t^{2}}\,dt.}

{\displaystyle \operatorname {erf} z={\frac {2}{\sqrt {\pi }}}\int _{0}^{z}e^{-t^{2}}\,dt.}

This integral is a special (non-elementary) and sigmoid function that occurs often in probability, statistics, and partial differential equations. In many of these applications, the function argument is a real number. If the function argument is real, then the function value is also real.


We contain the error function in a 2D theory we denote as node of a graph space and call a perspective (whenever present) a 2me.space

with a firewall

firewall given by a momentum and entropy power N(X) For family of x as X : Ω → Rn , f as probability density function f : Rn → R, entropy E the differential entropy of X, denoted


ResearchGate reference

https://www.researchgate.net/project/Foundations-of-Anthropocomputation


ResearchGate leftovers for integration

The error function of xd4 is introduced as a multi-scale measure λX · δX · δX which is referred to by the string ‘xD.lol’. It consists of partial or skewed transitions from a(ny given) (type) theory ‘x4’ to an evolution of x4 (via time, entropy or [PARAM]) towards a dimension S() D within a boundary d. We define all functnios ℓ¹ that miss the space but are positive ²₁₂¬∨⊥⊥/{\ that miss the projection space xd4 .
which we refer to as ϕ(x4). For anticipation of ϕ(x4) as an error function instead of a canonical theory, we define a MaxEnt top theory named qip8. The corresponding family of functions will once more which are characterized by expensive mappings
as an iteration of x4 towards any top system with explicit geometry with an incorrect mapping.
transitions are within a boundary xd. Such boundary From xd4 as inertial system, x4 is optimal entropy compression so the remainder value has a temporal nature. For ideal (zero) compression it is a purely temporal term as which it is treated in xd4.