THE LANGUAGE HX
The Language [HX] - INDUSTRIAL EXPLANATIONS, TRANSLATIONS AND APPLICATIONS FOR MANKIND.
Andrew Hennessey.
The language [HX] describes every transaction and every system in the Cosmos, whether microcosm or macrocosm.
It can be used to identify and describe the emergence of complex processes such as thought or molecules or stars.
It can also be used to direct the assembly of simples such as atoms and molecules to achieve a controlled and complex outcome.
HX is the natural and logical language of the Universe.
It enables a direct substitution of the Nouns, Verbs and
Adjectives of English with empirical descriptions of;
Objects, Processes and Qualities at any and every
scale. [from atomic to cosmic]
The Benefits of HX Assembler are:
1. data and data structures are portable between
domains.
2. adaptable, universal model or expert shell for use in
many applications.
3. the Knowledge Representation System enables a
unified approach to semiotics and artificial
consciousness.
HX is a High Level, declarative meta language that can
describe any event at any scale in the known and
unknown Universe.
Its central premise is that transfer at any and every
scale takes place between two objects through a
common medium and relativity. These packets of
energy and material move between places of high
potential to places of low potential in a process called
Transference.
The transference event between at least two systems
can be described in a Logically Real and 'synthetic a
priori' manner by two logically complete languages –
one a new modal logic with a limited number of
uncertain states called the language [A], the other by an
octal Boolean Logic called [T]
These transference events have models in;
Biology – Osmosis, Electricity – Ohm's Law, Chemistry
– Fajan's Rules, Psychology – Lewin's Field Theory',
Electromagnetics РK̦hler
And all can be empirically described and modeled with
the one underpinning inverse square power law.
Other key components of this metalanguage are the use
of Bertrand Russell's Set Theory to enable the
identification of common components in what is
essentially unique Chaos events within an assumption
of Absolute universal Chaos.
If Chemistry is the alphabet of reality and physics the
grammar, [HX] ASSEMBLER is the natural language and
contextual theme of the never-ending story. HX
describes chaos, flux and emergence within a language
of archetypal systems, events and transactions.
The General Systems Theory that underpins this
universal meta language called [HX] Assembler has
identified that every event/ object/ material system has;
a core, an infrastructure and an outer boundary within
the context of some asset.
Each of the three zones of a material system are directly
related by inverse square power law, and that within
each zone there is also an endogenous and exogenous
component that is also directly related and in
competition via an inverse square power law.
Every event and material system in the universe
therefore has 6 key components or fulcra upon which
the outcome its integrity and continuity is based.
This Theory [Hennessey, 2004] is called 6 Keys
Systems Theory
Use this stuff to talk to and technologically manipulate
every event in the material universe at any scale – a real
breakthrough in top down A.I. beyond Turing and his
'recursion paradox'.
A new Philosophy of Arithmetic called 'Essential
Arithmetic' also supercedes the Göedel Numbering
recursion issues.
Its operands written in the alphanumeric keyboard font set and called the 'Process Operands' [HX] are:
01. Unconditional Declarations e.g. If M then P1 where M and P and 1 are the alphanumeric Microsoft Western fontset utilising previously known data and previously agreed rules.
02. £ If M then not Q where not is £. i.e., £Q is not Q
03. >> IF M, then it follows that P1 is always predicated, i.e. M >> P1.
04. >= greater than or equal to
05. > greater than
07. <= less than or equal to
08. < less than
09. V or
10. IF if (always means IF and only IF)
11. + and
12. ( the start of a list of a cluster of arbitrarily labeled processes that have been measured and agreed to be part of
a closely interacting system that is an IPO Box.
13. ) the end of a list of a cluster of arbitrarily labeled processes that have been measured and agreed to be a part of a closely interacting system that is an IPO Box
14. @ All, the universal – absolutely all.
15. # some of.
16. = equals – is equivalent to by appearance but never absolutely.
17. & change in e.g. context or time delta t ( time 1 … time 2 )
18. [ X] square brackets enclose an acronym for a previously defined idea.
19. The set of Real numbers (1,2,3,4,5,……….n).
20. The English language letters upper and lower case consisting of (a,b,c,d, …z + A,B,C,D, …. Z) such that every letter can be considered to be a process called an IPO box and further instantiated with further IPO boxes if necessary. [Microsoft Western 'System OS fontset.']
21. $ is directly proportional to.
22. $$ is inversely proportional to.
23. % is a member of the set X
e.g. red (R) % X, where X = colours
R % X = R is a member of the set of X
24. +? positive transference gradient for specified system e.g. M, at time1, +?(M) such that large amounts of M will flow down a relative and common structural bridge to lower amounts of M in the system context.
25. -? negative transference gradient for specified system e.g. P at time1, -?(M) such that changing conditions at time2 have temporarily overwhelmed system activity rendering system bridging activity and feeding input inactive.
26. ? a condition for some transference opportunity that may emerge at an unspecified time, x. because of chaotic context behaviour.
27. ^ a specific temporal qualitative assumption for modeling that specifies at any given time the prevalent and highest values of atomic concentration within the current activity set.
It is needed as well as ? because of the interplay and exchange of similar aggregates within the modeling of the object AND the context.
It will denote and identify the potential for component relativity - either in the modeling of the object or its context. The material fact of physical and chemical intercession between similars absolutely always exists such that there is always a highest concentration of similar aggregate made relative to the lowest concentration of similar aggregate at a given time because of this intercession. i.e. ^Z >> ?Z, the conditions for relativity 'a priori' exist though may not at this time be active.
(with a social agreement on what is 'similar')
In holistic modeling, the Object and the Context have differing concentrations and differing priorities for the same compound. Thus by identifying where the highest concentrations are within the model - the relativity of exchange can be more easily tracked.
28. ~1X where ~1 identifies the macro ingredient X
29. ~2X where ~2 identifies the meso ingredient X
30. ~3X where ~3 identifies the micro ingredient X
31. [eT 01.. 64] or [eA 001.. 729] essential numbers e for [T] and [A]
32. t1, t2, t3, . etc where t = states relative interludes of observation
33. * where ~1X* and ~2X* identifies the same X in 2 etc. in continual contexts of e.g. object, environment, transference etc.
34. !X where transference velocity can be; !3 micro, !2 meso, !1 macro.
35. ¬X where conditions of over-sufficiency are being met for the emergence of a new copy or asset of X.
36. the feeding gradient [@f] for systemic (object) growth. [@g]
i.e. [@f] $ [@g] = [+?], a directly related persistent field.
37. the Macro toll gradient. [@t], energy for context self-defence. [@d]
i.e. [@t] $ [@d] = [+?], a directly related persistent field.
38. the system feeding gradient [@f] and the macro toll gradient [@t], however, are inversely proportional and directly competitive to the point of mutual exclusion. i.e. [@f] $$ [@t] = [+?]. (inverse power law).
39. English separators for associative listing 1. the comma (,) and 2. the fullstop (.) as end of list.
40. English semi-colon (;) allows for an antecedent bracketed listing of arbitrary labels and or external software sub-routines from social processes in various contexts such as object and domain libraries in the [T] & [TREES] isomorphic format e.g. [F; macro, meso, micro] or,
[F; noun, verb, adjective], or, [F; neutron, proton, electron], [F; object, process, measurement]. etc.
41. English inverted commas (" X) signify degrees of structural complexity - where "1 is simple, "2 is medial, and "3 is highly complex.
42. =:= Over-sufficiency, such that +?X, a positive transference gradient for the feeding of system X is of such persistent abundance as to facilitate the emergence of replication or higher degrees of complexity and emergent systemic behaviour.
43. //# Extraneous, unexpected, migratory, modal competition during ?, -?, +?
e.g. scales of: ~1//#X, ~2//#X, ~3//#X, and, X = (x1, x2, x3 ... xn.)
44. {G}X, {L}X : where {G} is a global context and {L} is a local context relative to some system X.
45. £$+ : the threshold level for systematic change and consistency in material proportions and behaviour.
46. %%X : where X is a general systemic organic process in which a matrix of osmotic processes of various relative transference velocities interact in various transactions of various scales and complexities.
47. =%%X : where X is a systemic process of empirically defined normative tolerances, attributes and values.
48. [SV] : shuttle value, where an organismic packet of defined ergonomic value (niche) is driven and empowered by large-scale changes of state and energy.
A framework model for complex transactions.
The information process model described by [H] will ultimately make use of the electro-physical properties and attributes of the domain that is being researched. The properties of Tripartite Essentialism [T] are such that process activities within and between objects in the physics and chemistry of the domains being researched can be analogized with existing knowledge in other domains. These measurements of various and different transactions and relationships in other domains are in fact identical. Similar objects in similar or even different contexts all have the same model in [T].
Similar energy transactions and distribution within and between systems through the mechanics of; gradients, combinations and recombinations amongst systems in many different domains, will produce new evaluation and performance strategies for existing domains and fill in the blanks in our existing knowledge elsewhere in more sparsely researched domains.
This idea is called isomorphism between domains.
Each system/object/unit in the following data model is given a physical measurement/Context – or list of measurements – which will denote its Scale/magnitude.
The physical measurements tie the performance of the object into similar performances given by other objects at other scales of magnitude to enable isomorphism between domains.
The Three Categories are : [always in relation to some physical context]
1.1. Macro. Its Physical Components - the reservoir of physical/atomic assets from which the [business] domain is derived [see examples to follow] 'the materials'.
1.2. Meso. The Structure, Mechanics and Infrastructure with which these Physical Components are organised and OPERATE represented [see examples to follow] 'the operational aspects of the manufactured vehicle'.
1.3. Micro. The Qualitative Aspects of the Business and its systems e.g. 'the difference between a Mercedes and a Lada.'
Further - this three part model also can be applied to, and operates within the philosophy of language where:
NOUN [Macro] depicts the physical components: 'object'
VERB [Meso] the energies of the infrastructure: 'process'
ADJECTIVE [Micro] the qualitative aspects of a system: 'qualitative attribute'
So not only is the semantic system embracing the empirical domain, but also the domain of language and the written/spoken word.
The following is an example of a simpler application within e-commerce and data mining – defining the Context e.g.
E - COMMERCE
3.0. THE CONTEXT of Business Operations and this software is Electronic Commerce:
So categories of information pertaining to: ISP's, Intranet, Extranet, Internet, LAN and WAN, International and Geographical Zones, language, platforms and other Protocols.
All matters listed by the small business pertaining to the modus operandii of its E-Commerce and the aspects of the systems it will use to trade with.
There follows 3 examples [31. – 3.3] of small business and their activity classified with this 3 part semantic system and its aspects called; Macro, Meso, Micro.
3.1. Arts - Music and Multi-Media
3.2 Industrial Manufacturing - Light Engineering
3.3 Service - Insurance
1.1 MACRO. THE PHYSICAL/ATOMIC COMPONENTS OF THESE BUSINESSES ARE AS FOLLOWS.
e.g. 3.1.- MACRO. fiddle, harp, keyboards, studio recording components, sound mixing facility, strings, CD/Tape duplicator, Minidisk, P.A. System, Transport, music stand, instrument case, tuner, lights, lighting desk, compressor, pre-amp, effects processor, microphones, stands, computer, software, peripherals etc.
e.g. 3.2 – MACRO. lathe, metals, cutter, sweeper, shop floor clothing, gear and boots, tools, bench, drill, workshop, first aid box, lighting, storeroom, drawing/stencil board and printer, oxy-acetylene torch, arc, welding gear, trolleys, coolant, polisher/buffer, chemical solutions etc.
e.g. 3.3 – MACRO. car, clothing, suit, PC, mobile phone, hard copy filing system, stationary, photocopier, Office, computer and network peripherals, petrol, audio-visual presentation kit, overhead projector, whiteboard, laptop and modem, office furniture, briefcase, clients, customers, leaflets, potential customers etc.
1.2 MESO. THE PRODUCT & MEDIA OF THESE BUSINESS 'SYTEMS' ARE AS FOLLOWS.
e.g. 3.1 MESO. - albums Celtic, albums rock, albums dance, albums story, multimedia books on CD on mysticism, hard copy tune books, logic audio recording software, concerts, performance and events supplied and tours done by company bands, new midi instruments invented, ambient and meditational video and audio's, technical papers on new musical theories, interactive CD-ROM and multi-media package on Philosophy for Children, secure website for sale of soundfiles and other product.
e.g. MESO. - 3.2 - oil rig parts, ship parts, motor parts, alloy parts to industrial specifications, hard alloy, soft alloy parts, thermophilic alloy, civil infrastructure components turned by spec to order, trawler maintenance, car and lorry structural repair, ad hoc building and roof components designed and manufactured by consultation.
e.g. 3.3 MESO. - domestic surveys, commercial property surveys, domestic and commercial policies, PEP's, Equity Investment, stock brokerage, actuary and risk assessment, bank and investment portfolios, building society and investment house policies and procedure, capital returns for business and client,
Leaflets and advertising packages - multi-media, TV, radio, cinema, etc
1.3 MICRO. QUALITATIVE ASPECTS ADDS/ANGLES/DISTINCTIONS/DESCRIPTIONS
e.g. 3.1 MICRO. - Original music/ various and diverse idioms, original story, cutting edge web site, diverse - one stop catalogue, secure for E-commerce and credit card transactions, high quality international & high tech delivery company used
e.g. 3.2 MICRO. - parts to order, small runs - fast turnaround, good service and maintenance backup, high skill level, One-Off's, diverse projects, great experience
e.g. 3.3 MICRO. - proven track record on investment/stock portfolio, good payout and premium record, speedy and efficient processing of clients
The [HX] Syllogism.
MACRO MP
MESO MS
MICRO SP
This singular tautology is non-arbitrary and is not one of the
many styles and forms of tautology derived by Leibnitz. This
is because the ordering and precedence of the lettering is
deemed irrational in terms of [T]. As a language of function,
[T] does not attend to e.g. banana or orange, or, orange and
banana, both being fruiting bodies of biological systems
within the botanical class of angiospermae. [Vines and Rees,
'Plant and Animal Biology, vol. 1.', edn.4, pub. Pitman, 1972,
ISBN 0-273-25222-4]
The underlying common process is both are fruit, one of a
tree, the other of a herb (banana). The process description is
the same in both cases however.
The fruit content is divergent also, as neither generic
oranges, nor generic bananas, are actually absolutely
identical in any logical way.
M in this simplified analogy is the predominantly Carbon
backbone of the plant systems Macro, where P is contextual
Oxygen, and S is systemic Meso Water. The evolved asset
driven by metabolic oxygen is the predominantly water based
asset of the plant metabolic system.
i.e. Major Premis MP, Minor Premis MS, Outcome SP.
The order of precedence for lettering and other arbitrary
labels is entirely unimportant in [T] descriptions.
In [T] and its transaction model, the properties of
electrovalence - the movement of energy by Fajan's Rules
extends across the electromagnetic spectrum from
approximately 10 to the 21 hertz to 0 hertz - including in order
of decreasing frequency; gamma rays, X rays, ultraviolet,
visible, infrared radiation, microwaves and radio-waves.
The interaction or inter-conversion of electric and chemical
phenomena produces an effect called electromotive force, or
EMF. This energy can be converted reversibly from;
chemical, mechanical or other forms of energy into electrical
energy in some mechanism or Meso.
There are two transaction types in any given context that has
a system under observation. These common and relative
transactions can be modeled using the [HX] syllogism.
Z = Water, M = Specific Ions, S = Plant System,
Q = Physical Context,
P = System Product and Emerged Asset of Scaling
Exploitation.
In the aggregate context where: [Z, M, S, P] % Q + [t1 ... tn.]
[HXmicro] [HXmeso] [HXmacro]]
SYSTEM PRODUCT OBJECT SYSTEM CONTEXT (Q~3S = t0)
~2"MS ~3"MZ, t3 ~1Z ~2M ~1Q ~1Z
~2"MS ~3"MP ~2!3Z ~2+?#¬S, t1 ~2Q ~2M
~3"ZP + (?~3S), ~3"!3MS, tn ~3M~1S, t2 ~3M ~3Z, t2
The common process being exploited by piggy-back between
the object system S (plant) and the context is the fact that in
the evaporation of massive ground waters Z percolating
through the geochemistry, from relatively large scales within
the geophysical context there is a set of necessary ionic
ingredients M, making progress from greater to lesser scales
of magnitude. This is driven by osmosis within the soil and
atmospheric conditions for evaporation.
i.e. ~2M >> ~3M at time 2
The niche for plant growth can be described in terms of the
[HX] syllogistic forms as; ~1Z + (~2Z + ~2MS >> ~3MS) >>
~3Z
The evolutionary assets of the context system, e.g. its; soils,
physical chemistry, geology, seasons, temperature, pressure,
light levels, altitude, solar activity, ecological global
dependence, sunspot activity, relative ocean currents, orbital
irregularities, planetary tilt, albedo, tectonics etc.
In the context of relative scales of interactivity within and
between the object system and the context system, the object
[HX] ASSEMBLER
system is always embedded and nested within the scales of
transaction in the context.
Persistent over-supply (t1 ... tn) of the aggregates Q,
necessary to emerge and replicate complexity within the
system S, will produce the emergent product e.g. seed, at t3.
(t3 = ?¬S) to be regrown at context time Q = t4. (where t4 =
t0).
The object system must attenuate and defend itself from the
greater scales of similar aggregate and their activities within
the context.
It must pay a systemic toll to do this whilst converting meso
quantities of context into structural assets such that the
system becomes viable and macro.
The molecular version of [TREES] - 'Tripartite Relativity Expert
System', can use processes such as electro-kinetics. These are
the electro-dynamics of heating effects and of current
distribution in; electric network electrolysis, chemical change
and decomposition produced in an electrolyte by an electric
current.
Also, electro-kinetics come from electromagnetic interaction - a
form of interaction between particles and or fields.
Analogical reading of the emissions at the CPU by e.g. a
photonic array and, or, the crystal can be interpreted to produce
a tautological outcome in whatever context.
THE BIOLOGICAL ANALOG.
This model is built around the use of atmospheric pressure to deliver
water to the plant biology using the transpiration stream up the xylem
caused by leaf metabolism and the osmotic uptake of (biologically)
necessary ion aggregates from the soil by centripetal ion activity in
shoots and roots.
From Chapter 2 where we first looked at the Biological transference
Model – we have a framework example with which to now operate a
more complex description at the level of a systems theory.
01. If the context aggregates Q and their changing attributes with time
&Q are available as Q to the DNA script propagating to exploit them,
then the evolutionary driver from Q that is Z will arrive in the plant
system S at time1.
With systemic structures, macro aggregate defences and enforced
adaptive tolerances against usual macrotic chaos, and bridging
activities with which to exploit the macro intact, the water transport
system conveys the ionic packets to the plant envelope and its
metabolism.
[HX] ASSEMBLER
where (?¬S) is the plant seed system and Q = environment aggregates
1a. @ Q >> #Q = ~1S, t1
1d. &t, t2 >> (~1Z = (=:=Z) + ("3Z + !3Z))
1c. t2 = Q[@t]Z $ Q[@d]Z
1d. &t, t3 >> ((?¬S) + (+?¬S) = (=:=S)
02. The plant system S uses and mutates transport system Z and has
successfully incorporated and exploited ?Z in this environmental
context. Successful self-assembling aggregate S has enfolded and
maintained a Z supply vacuum that exploits the process of
evaporation from the tolerances within the soil and vegetation
types and the changes in air temperature and pressure.
S has embedded itself in a persistent opportunity between massive
scalar differences in the macro aggregates.
Low S in the macro aggregates is feeding the assembly and
emergence of high S within the plant because it is being pulled
and transported by the greater and more physically abundant and
reactive high Z in the macro aggregates across a massive scalar
divide to massively low Z (atmosphere) in Q.
2a. &t, t4 = ((~1Z + ? + &Z) % (Q + &Q)) >>
2b. >> ( Z >> (+?S(&Z)) + (+?S(-?Z)))
2c. ~1QZ = (~1!3QZ* + ~1SZ*!2) = (+?SZ)
2d. [@f] $ [@g]
03. IF context C (atmosphere activity prevalent), where C % Q, and is
greater than or equal to biological and physical plant tolerances -
Optimum O, then some water Z plus other ion attributes M will be
moved into the plant cytoplasm L in the plant system S at time1.
3a. S % (C % Q), t4,
3b. Q = !3Z = ?Z
3c. ((C>= O*) >> ~1+?Z + (~3*!2ZM = L) ~2S* + !3ZS ) >>
3d. >> (+?(#Z + #~2M) >> ~2L) >> ~2S*)
3e. >> (&~1Z % !~3SQ, t4)
04. Piggy-backed on the massive scalar processes (e.g. physics and
physical energies) interchanging in the groundwater, hydrosphere and
aeolosphere, ionic components essential for plant growth and oversufficiency
create the possibility of evolutionary asset or fruit.
e.g. Plant metabolism: ~1S >> ~3S, where ¬S in ~3S is the process
replication description called biological DNA, M = migrating ions, L =
cytoplasmic envelope at time n.
i.e. the central systemic manufacturing process of S that creates the
subset (s1 .. s3) in order of; macro, meso, micro and also of scale is:
S = (s1, s2, s3).
In plants, these processes have primary components of operational
capacity that is predicated upon structures utilizing: s1 = protein base,
s2 = sugars, s3 = phosphate predicated.
4a. Q = =:=MZ, t1
4b. S = (s1, s2, s3)
4c. S + t2 + +?Q~2M = (L = (#~3M + ¬S) + Z) = ~3S = (?¬S)
4d. (?¬S) = [@f] $ [@g]
05. In the ground G, in good conditions, the seeds start to sprout. The
emergence of the external structure of the plant, E, where E % S, and
includes the superstructure of the foliage F, and xylem X: - is driven by
aeolian A, and phototrophic P, dictates.
Persistence of temperature and light and moisture and low air pressure
and low turbulence will produce an over-sufficiency O, (=:=), of growth
and therefore fruit. (?¬S).
5a. IF ~1S + (?¬S) % G + (+?~1Z^) + (+?P^) + (+?A^), t1 >>
5b. >> (?¬S) + ~2S + ~2Z + (+?S) + ("1S) = t2.
5c. t2 = ((L = (#M + #¬S) + ~2Z)) $$
5d. $$ = (E = (#A + #P + ~2Z^ + F + #M) + ~3Z))) = t2.
5e. t2, IF (+?~1Z) >> ( ((L = [@f]) $$ (E = [@t])) = t3)
5f. t3 >> (+?S = (+?~2Z) + (+?~3Z)) =
5g. = (#~2MFs* + #~2MXs* + (#¬S(#s1, #s2, #s2), t2) + #"2S) + ~3Z.
5h. membranes roots and leaves and relative seasonal velocity
5h. t4 = +?S (¬s1 >> s2 + #s3) + (#"1SFX + #"2SFX) + //#
5i. t5 = +?S(¬s1 + ¬s2 >> s3) + (#"2SFX + #"3SFX) + //#
5j. t6 = +?S(¬s1 + ¬s2 + ¬s3) >> ("3SFX >> (?¬3S) + IF£ //#)
5k. t7 = -?S( £=:=(s1 .. s3)) +V (//#)
THE SCALING RELATIVITY MODEL [SRM]
06. At the boundaries of various membranes and other transitional
zones used in 'osmosis' by aggregates, there is a relatively normative
systemic toll to be paid falling within the usual tolerances of the selfregulating
and self-replicating physical system.
e.g. A to B through some common C with the intercession of at least
some common D.
However, migratory aspects of adjacent chaos can introduce other
modalities and scaling conflicts into the object - context relationship.
[HX] ASSEMBLER
i.e. A to B through some common C with the intercession of some D
that causes destructive distortion in the systemic structure, t1.
Although the systemic resistance exists, depending on the degree of
physical impact on the systemic defences and tolerances there will be
a gradual shutdown until cessation and de-contextualisation ensues,
t3.
e.g. drought. (S = Plant System, Z = Pluvial and Fluvial Water)
6a. t1 = (+?~3//#~2S) + (-?!1~1Z)
6b. t2 = (?~2//#~1S) + (-?!1~1Z)
6c. t3 = (~1//#£S) + (-?!1~1Z)
07. The Plant System suffers context disruption in its feeding gradient
and its metabolic bridging activities and transference gradient are
compromised.
Where S = (f1 .. f5), and f1;XXX and Q = (t1 .. t6) and t1;XXX are
numeric values; 001 - 999. for the purposes of empirically measuring
relative wavelength and frequency for the construction of social
information and artifacts.
7a. +?QS, t1
7b. t1 = S([@f] $ [@p]) $$ Q([@t] $ [@d]) = [@f] $$ [@t]
7c. t2 = ~2//#S >> S(f1;075, f2;153, f3;125, f4;092, f5;085) + (£f2;153)
7d. t3 = (?~2//#~1S) + (-?!2~3Z)
7e. t2 = S(f;)(075, 000, 125, 092, 085)
7f. t4 = ?Q[@t] >> Q(t;)(t1; 150, t2;112, t3; 000, t4; 000, t5; 017, t6; 443)
7g. t5 = IF "3~3S >> (~3//#S V ~2//#S) = (-?~3S)
7h. t5 = IF "1!1~1S >> (~1//#£S)
7i. t5 = "3~3S >> (f1 + f2 + f3) £$$ (t1 + t2 + t3 + t6) = (&t£=:=)
7j. t5 = f;(075 + 000 + 125) = f;200, $$t;1:2 = (//#~1!S) = (f;red)
7k. t6 = ~1S(f;red) >> (f; tripartite biology domain, massive heating)
7l. t6 = //#~1S(f; geo-drought, dehydration rupture, red distortion)
7l. t0 = f;(075 + 153 + 125) = f;353, $$t;1:3 = (+?~3"3!3S) = (f;blue)
7m. t0 = f;(blue, UV) >>
7m. t0 >> (f; tripartite physics domain, diffuse atmospherics, less plant
red into photosynthesis, more blue/yellow and less red/green, greater
xanthophyll and less chlorophyll).
7n. t7 = IF (+?~3"3!1S) = t1 = (£f2;000) >>
7o. t7 >> //#S = //#f(~1f + ~2f + ~3f) = % Q
[HX] ASSEMBLER
7p. t8 = ("2~2f2;000) + //#f >> (~1"1f2;160) = ?S
7n. The scale of f2 needed by S is nested in the larger ecosystem Q,
which feeds (+?) the metabolic meso (~2S) through various layers of
filtration and transportation mechanisms ("3 V "2). These eventually
substantiate (=:=) the emergence of fruit or other replications, (~3S).
e.g. [HX] syllogism.
7q. t9 = //#-?£f2[@d] + //#f(~1f + ~2f + ~3f) + (//#"2!1Q) >> £S V £#S
7r. t9, IF //#f;XXX = t;XXX + ~3"3!1S + £f2 >> ?S V +?S
08. The system having been breached by migratory chaos if
sufficiently sturdy, complex, well stored and developed may be able to
cope with variable distresses within the new orientations of the
context.
If it does or does not, however, is entirely unpredictable and arbitrary,
as physical conditions accrue and emerge and de-merge with time and
with the influence of more global activities. Some examples of
systemic states for S are given below at time13 and intimations for
what may or may not be possible. t13, (8g. - 8x.) for example massive
scale velocity transference on massively complex, massively storing
systems versus relative damage on similar systems in low scale
velocity transference on simple and relatively unfortified systems. A
few examples iterate the possibility of complexity and detail within the
[HX] ASSEMBLER.
8a. SQ = S([@f] $ [@p]) $$ Q([@t] $ [@d]) = [@f] $$ [@t]
8b. t9 = ~2//#S >> S(f1;075, f2;153, f3;125, f4;092, f5;085) + (£f2;153)
8c. t9 = (?~2//#~1S) + (- !3~3Z) + (~3//#+?~1!"3Q)
8d. t10 = S(f;)(075, 000, 125, 092, 085)
8e. t11 = //#-?£f2[@d] + //#f(~1f + ~2f + ~3f) >> (£#S) + (?S) + (+?S)
8f. t12 = #S % ~1[@t]"3!3~1S + (~3//#+?~1!"3Q) + //#f(~1f + ~2f + ~3f)
8g. t13 = #S + //#f;(~1f) >> ~1!1"1-?£S + (?S) = S at timeN
8h. t13 = #S + //#f;(~1f) >> ~1!1"2-?£S + (?S) = S at timeN
8i. t13 = #S + //#f;(~1f) >> ~1!1"3-?£S + (?S) = S at timeN
8j. t13 = #S + //#f;(~1f) >> ~1!2"1-?£S + (?S) = S at timeN
8k. t13 = #S + //#f;(~1f) >> ~1!2"2S + (?S) V (+?S) V (£S) = S at timeN
8l. t13 = #S + //#f;(~1f) >> ~1!2"3S + (?S) V (+?S) V (£S) = S at timeN
8m. t13 = #S + //#f;(~1f) >> ~1!3"1S + (?S) V (+?S) V (£S) = S at timeN
8n. t13 = #S + //#f;(~1f) >> ~1!3"2S + (?S) V (+?S) V (£S) = S at timeN
8o. t13 = #S + //#f;(~1f) >> ~1!3"3S + (?S) V (+?S) V (£S) = S at timeN
[HX] ASSEMBLER
8p. t13 = #S + //#f;(~1f) >> ~2!1"1S + (?S) V (+?S) V (£S) = S at timeN
8q. t13 = #S + //#f;(~1f) >> ~2!1"2S + (?S) V (+?S) V (£S) = S at timeN
8r. t13 = #S + //#f;(~1f) >> ~2!1"3S + (?S) V (+?S) V (£S) = S at timeN
8s. t13 = #S + //#f;(~1f) >> ~2!2"1S + (?S) V (+?S) V (£S) = S at timeN
8t. t13 = #S + //#f;(~1f) >> ~2!2"2S + (?S) V (+?S) V (£S) = S at timeN
8u. t13 = #S + //#f;(~1f) >> ~2!2"3S + (?S) V (+?S) V (£S) = S at timeN
8v. t13 = #S + //#f;(~1f) >> ~2!3"1S + (?S) V (+?S) V (£S) = S at timeN
8w. t13 = #S + //#f;(~1f) >> ~2!3"2S + (?S) V (+?S) V (£S) = S at timeN
8x. t13 = #S + //#f;(~1f) >> ~2!3"3S + (?S) V (+?S) V (£S) = S at timeN
8y. t13 = #S + //#f;(~1f) >> ~3S = (?S) V (+?S) V (£S) = S at timeN
8z. t13 = #S + ~1//#f(~1f) >> #S((-?S) V (?S) V (+?S) V (£S)) = S at timeN
8aa. t13 = #S + //#f(~2f) >> #S((-?S) V (?S) V (+?S) V (£S)) = S at timeN
8ab. t13 = #S + //#f(~3f) >> #S((-?S) V (?S) V (+?S) V (£S)) = S at timeN
8ac. t14 = #S + //#f(~2f) >> #~2S = S at timeN
09. Macro Toll Gradient [@t] is an energy toll of previously established
physical and social parameters measured in and pertaining to the
observed context between time1 and time2.
When contextual disaster strikes though, tolerances within the system
break down and release numerous breakdown products from aspects
of the system and new environmental context that interfere and mix
with and disrupt (or augment) previously working and stable physical
relationships. e.g. ~1//#S, t1.
In normative circumstances: Context Q $ S >> S([@d] $ [@t])
In abnormative disruption :
9a. t15 = //#Q $ //#S, #S >> = ?S(f2;153) at timeN
9b. t15 = £S + (//#(S[@d])) = ?S(f2;153) at timeN
Within the damaged system, possibilities for recombination of simples
(n) represent at the damage interphase until the unique physical
tolerances of the damaged zone are either superceded and
disintegrated or useful recombination and structural attenuation can
present enough bridging material to repair the systemic defence [@d]
such that the feeding gradient from the systemic metabolism can
support [@t] the abnormative structural distress.
Two similar but differently scaled systems may fare differently in a
chaotic context disruption of similar magnitude. No modeling assertion
could be absolutely true in a chaotic universe though.
examples s1 and s2, where s1(mature) + s2(young) % S
s1 = !3ZS(~1X"3~1F"2) mature plant in emergent growing season
s2 = !3ZS(~3X"1~3F"1) young plant in emergent growing season
[HX] ASSEMBLER
9a. t14 = //#-?£f2[@d] + //#f(~1f + ~2f + ~3f) >> (£#S) + (?S) + (+?S)
9b. t14 = #S % ~1[@t]"3!3~1S + (~3//#+?~1!"3Q) + //#f(~1f + ~2f + ~3f)
In this system S, values for fn at; macro (~1fn) = 500 - 1000
meso (~2fn) = 50 - 100
micro (~3fn) = 1 - 10
In the context //#Q, however, disruption at (~1fn) has caused systemic
failure such that the velocity of the normative rate of supply is now
insufficient to supply enough systemic defences to slow down the rate
of systemic disintegration.
Some complex systems can still function and retain some damage
within their structure.
In the context Q, normatively, the upper and lower tolerances of
competition on [@d], lie within the range of [800 - 1200] where [<1000]
is prevalent. e.g. 1:10 aggregates in context lie in the range [1001 -
1200]
This 1:10 entropy ratio ~3!S would define normative existence within
context Q for S.
Also 1:10 aggregates in Q, used by S to make ~1S lie within the range
[1 - 499].
In the context //#Q, however, this ratio has changed; e.g.1
Contextual disruption of Q has led from a normative ~3!S; (1:10), to a
systemically damaging, ~1!S; (1:100 - 1:1000), tn.
9c. t15 = //#S + fn =<~2f2 + +?[@f] + (#S + ?S) - S(~1//#!1"1fn)
9d. t16 = //#S + fn + fn =<~2f2 + +?[@f] + (#S + ?S) - S(~1//#!1"1fn)
9e. t17 = //#S + fn + fn + fn =<~2f2 + +?[@f] + (#S + ?S) - S(~1//#!1"1fn)
9f. t18 = //#S + fn + fn + fn + fn =<~2f2 + +?[@f] + (#S + ?S) -
9f. t18 = - S(~1//#!1"1fn).
9g. t19 = //#S + fn + fn + fn + fn + fn =<~2f2 + +?[@f] + (#S + ?S) -
9g. t19 - S(~1//#!1"1fn).
9h. (t14 - tn) = //#SQ +?[@f] >> #S + //#Q = (#fn=<~2f2,tn) + (#S + ?S) V
9h. (+?S).
9h. t20 = //#S+6(fn),@tn(t+1) >> @fn(+1fn)tn. =< ~2f2.
9h. t20 ~2f2 + (+?[@f] + (#S + ?S) - S(~1//#!1"1fn))
9i. t21 = //#S + 7(fn) + =< (#fn=<~2f2,tn) + (#S + ?S) - S(~1//#!1"1fn)
9j. tn = //#S + 8(fn) + =< (#fn=<~2f2,tn) + (#S + ?S) - S(~1//#!1"1fn)
10. Disruptions in the context //#Q may allow the survival of system S
or not - dependent on the nature and magnitude and duration of the
[HX] ASSEMBLER
systemic de-contextualisation and the durability and complexity of the
system.
e.g. X = xylem transport system and F = foliage. s1 = mature, s2 =
young.
s1 = !3ZS(~1X"3~1F"2) mature plant in emergent growing season, tn.
s2 = !3ZS(~3X"1~3F"1) young plant in emergent growing season, tn.
10a. tn = (@//#Q >> £S) V (#//#Q >> #S(s1.x));(S,phenotypes,
10a. tn = properties.x)
10b. t23 = !1ZS(~1X"3~1F"1), xs1.1;(deluge, mature root and xylem,
10b. t23 = bad foliage).
10b. t23 = !1ZS(~1X"2~1F"3), xs1.2;(deluge, mature root and xylem,
10b. t23 = excellent foliage).
10b. t23 = !1ZS(~1X"1~1F"1), xs1.3;(deluge, mature/decayed root
10b. t23 = and xylem, bad foliage).
10c. t24 = @//#Q = (-?s(1.1 + 1.2)) V (?s(1.1 + 1.2)) + £(s1.3)
10d. t25 = @//#Q!1Z >> S = (£X)x;(deluge, root dislocation, £[@f])
10e. t25 = IF @//#Q = t26 >> (s1.2 > s1.1) + (!1~1Z) + #(?s(1.2>1.1))
10f. t25 = IF @//#Q = t27 >> (s1.2 < s1.1) + (!1~1Z) + #(?s(1.1>1.2))
10e. t26 = !1Z@//#QSs >> #~3Q,x;(optimum temperature and light,
10e. t26 = £[@f])
10f. t27 = !1Z@//#QSs >> #~1Q,x;(extreme temperature and light, £[@f])
10g. t27 = f2 % &Q = (q1, q2, q3, q4, Q(1-n), ~1Z) > @(~2S + ~3S)
10h. t27 = #(~1S) = f2 % (q1, q4)
10i. t27 = @Q % &W = (W1, W2, w1, w2, w3, w4 ...wn)
10i. t27 = W;(tectonics, volcanism, tsunami) = &Q(~1!1{G} + ~1!1{L})
10i. t27 = W;(Richter, Geochemistry, Salinity + Temp) >> $$[@t]s
10j. t28 = W1 $$ W2 >> @//Q (q1 $$ q4) >> f2 + (&~1!1"1Q) + (#QSs)
10k. t28 = (!1W1 $$ !1W2 >> =:= {G}@w + #¬{L} >> (q1 $$ q4)
10l. t29 = #¬~3{L} >> #¬~3(f2) >> #{L}Ss = (=:= + ?Ss)
The objects and labels within this event description are
interchangeable between similar events in different domains.
E.g. function, malfunction, systemic integrity and disintegrity in
the 'fruiting' process in other systems and outcomes.
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