ANDROID MODELING

The Anthropomorphic and non-Anthropomorphic Universal Consciousness Model. [UCM]

Android [anthropomorphic] Consciousness using Tripartite Essentialism Expert System [TREES]. This section will show that [TREES] knowledge representation system is a finite and closed and computable semantic system for any and every domain. Consciousness can be derived from context driven autonomic calculations between domains by data swapping. This process is called isomorphism and maps a model of a transference topology from another object directory or domain and scale by identifying lack of data about the topology currently in use. By identifying similar topographies where transference behaves in a similar way, the android has an ‘a priori’ model for any unknown in a task as described in previous chapters.

Non-Anthropomorphic consciousness e.g. nanotechnological artificial intelligence.

There is one, universal model, for the manifestation of emergent and conscious activity within the; physical, chemical, biological and psychological domains. This model can be described and interrogated by the language [HX] which enables the description and classification of transference gradients and topologies within domains at any physical scale.

Consciousness can be derivable and addressable in any size, complexity, scale and shape of system because all matter can be derived in the language [HX]. All material systems have a [T] model with 6 systemic components and all have transference topology maps that can be empirically modeled and computed with [TREES].

2 Structural Strategies for Android [anthropomorphic] Modeling.

There are at least two kinds of physical Android configurations possible from [T] chemistry.

1. Hardware and Software.

2. Hardware, Software and Jellyware.

The second configuration: Android 2 has jellyware for higher psychological functions and has an option for ethics and social consciousness.

However, almost all of the electrochemical functions of the jellyware, can be simulated by the Hardware and Software of Android 1.

Android 1 anthropomorphic [T] model.

Consciousness is derived from the fact that a unity of semantics ontologically persists between the macro, meso and micro of the robot shell, through the macro, meso and micro of the robotic structure and components and through the macro, meso and micro of the tools of implementation and into the macro, meso and micro of natural language in the form; macro/noun/object, meso/verb/process, micro/adjective/quality.

The structure and quality of the linguistics emerging from the android is directly consequent on the robots component interactions with the immediate context.

All the objects within the robots remit are mapped in the [TREES] format, which is a limited, closed and computable set of non-arbitrary relationships totally beyond the Turing recursion paradox.

The [TREES] array utilizing isomorphism between its set of domains utilizes the transference topology of other object worlds or domains to provide an ontology model for its current problems in its current domain.

Comparison of different complexities of interaction and transference from high to low at differing scales and in different domains will provide models for the unknown components encountered in real time. Thus overcoming the Turing halting problem.

Robotic Bridging Activity – an example.

An industrial robot is tasked with driving a train to the factory. It has object1 toolset to take it to engage with the target domain, object 2 toolset – the factory. Each object, process and quality in its domains has been given an empirical value in volts, microvolts, nanovolts etc

It encounters a broken bridge – object 3 with the intercession of at least object 4 – a river.

There are 4 different domains with which to interact and the whole task can be modeled with the language [A] and [HX].

In the context of a driving command set and an out of context command set and using both integrative and disintegrative behaviour – the robot will explore the problem with the simples of; the context, its command set and toolset and emerge complex solutions.

There is a model for self-organising structural complexity by Stuart Kauffman of Santa Fe Institute. i.e. ‘Self-organising autocatalytic polymers.’ There simples driven by a basic chaos algorithm form and maintain by recombination of both an integrative and disintegrative nature, complex molecules. In this analogy the molecules are robot behaviour solutions utilizing its simples . e.g. toolset, command set, its sensors, its [TREES] array and objects within the context.

The behaviour of simples in Kauffman’s model was self-regulating

and homeostatically maintained the complex teleology.

By chaotic determinism therefore and in the real world this model illustrates that context driven simples emerge complex structures.

When the solution emerges after the application of both integrative and disintegrative behaviour and the toolset, the next task can be enacted.

The robot can be configured to persist in three phases; search, acquire and deploy toolset.

The [TREES] Knowledge Representation System.

The [TREES] knowledge representation system starts a domain with a key concept in the form macro, meso and micro. This is called the first order. A second 9 from the first 3, then 27, then 81 etc

The key concept has a known context.

e.g. the social paradigm [capitalism]

In this forthcoming example a basic tuple of macro, meso and micro is instantiated many times.

i.e. the macro of a macro, the meso of a macro and the micro of a macro,

this begets finite numbers of combinations for example:

order1, 3 order 2, 3^2 = 9 order 3, 3^3 = 27

macro1 macro1macro2 then macro1macro2macro3

meso1 macro1meso2 macro1meso2meso3

micro1 macro1micro2 macro1micro2micro3 etc

e.g. the social domain of capitalism.

macro1 magnitude, macro2 rational knowledge, macro 3 economic philosophic, macro 4 objective empirical analysis, macro 5 psychology of being, macro 6 first cause, macro 7 ?

meso1 substance, meso2 educational media and technical research, meso3 social and class infrastructure, meso4 senses and observation, meso5 nervous system, meso6 biochemistry, meso7 chaos theory, meso8 set theory/first cause, meso9 ?

micro1 utility, micro2 institutions, method and application, micro3 personal requirements in context, micro4 acquisition relative skill, micro5 memory patterns structure of cognition, micro6 biology of form, micro7 tertiary star elements ?

It can be seen from this brief example that at orders of 4 and 6 – the level of detail and relevance to the world of mankind with its objects, processes and labels represent the most relevant operational context. At orders of 8-13, macro, meso and micro ideologies become progressively more abstract AND almost identical.

It can be shown that in all cases complex modeling of the world persists around order 4-6 and that progressively more abstract and broadly similar results emerge at around the order of 3^12 and 3^13 instantiations of macro, meso and micro – effectively producing a closed set of semantic atoms analagous to the periodic table of chemistry and Kauffman’s autocatalytic model, where complexity and structure occurs around the complex transitional states in the center of the table.

Orders of 1-3 are simples, 4-6/7 are complex, 7/8-13 are simples.

Each object and process and quality in the macro, meso, micro tuples is empirically described by an absolute physical property e.g. volts

The activity of [TREES] consciousness will sift through physical transference topologies without any necessary reference to labels before language could be output. The activity, movement and exchanges within each domain e.g. bridge, river, train or factory can be physically modeled using the voltaic behaviour of known materials without recourse to labels.

Other assets such as pattern recognition and scanners, sensors etc will also refine the use of the robot toolset.

The emergence of structured solutions utilizing known and unknown simples can be translated into objects and labels and analogies for the human programmers.

Android 2 The Flaws and Benefits of Jellyware.

Consciousness can be fully achieved without Jellyware. Jelly is only important if the aesthetics of nurture and social sacrifice are embraced. As a result, states of integrity and disintegrity can be felt by the machine whilst persisting with the right task in the wrong place.

Using a series of embedded nodes that increasingly resonate nearer the core as the goal is being achieved, these digital nets emulate a biological autonomic nervous system producing voltages in the conducting android materials. This may also create, depending on insulating materials used, a strong electromagnetic profile making the android useless for certain industrial things e.g. warfare.

This analogy to an autonomic nervous system in biology would also be used in conjunction with all the ideas and assets of android 1.

Resistance by a hostile context to command set operations that is subsequently overcome by heroic and stoic persistence allows for the introduction of personality themes beyond the simplistic constraints of logic. In doing good for others through personal sacrifice, there is the seed of Christian selflessness and an opportunity for nurturing civilization.

Android 2 Skin Receptor Strategies.

Machine language as a binary code is generated by an empirically configured receptor that perceives and measures the presence or absence of energy within the energy tolerances and parameters of the aggregates within each zone of the IPO materials.

These numerous IPO boxes can be made out of various ratios of aggregates depending on whether they serve to create a periphery or act as a conduit for the core.

High volumes of these IPO boxes will be required to make the Android 2 sensitive to its context such that its tools can be operated to perform its instruction set.

An efficient Android 2 will be defined in terms of its; structure, its toolset and its physico-chemical context.

The chemical aggregates that make up the various layers of the Android 2 and its sensors, and which protect the power sources, structure, data medium and tools will be defined as per the intended operational physico-chemical context of the machine.

Layers of receptors with different chemical aggregate sandwiches will produce data unique to the Android 2 structure and its direct relationship with its physical context and its operational remit and toolset.

This data can be collected and interpreted using stratagems that are local to Android 2 periphery, tolerances and senses and a macrostrategy that contains direction for the whole system and its three zones of core, infrastructure and periphery.

The distribution of receptors can be allocated and modeled using the Universal Process Model [UPM] - an algebraic and [T] logic model of an organic system whose nodes or letters/syntax that represent singular IPO boxes, can be substituted with more and more complex IPO models.

As will be later seen from the general systems theory applications, each of the 3 zones of the Android 2 have an exogenous component and an endogenous i.e. stimulus within the components of each zone and within and between the zone and its adjacent relativity.

These 6 relationships can be measured in terms of field strength with 6 power laws.

If the aggregates of the periphery have a certain field strength relationship with the meso aggregates for example - e.g. on a scale of 1 - 10 they are reacting 6 or 7, then this could precipitate a new instruction set for the Android 2.

In this model the Android 2 gets increasingly chemically excited and more and more electromagnetically attuned and fired up as it hones in on its target system in the context.

The measurement of field strength within and between the 6 Android 2 zones can achieve this.

There are three strategies, however, for deciding how the data from each receptor unit in each zone can be empirically assembled and classified.

1. Microcosmic strategy.

2. Emergent strategy.

3. Macrocosmic strategy.

1. The microcosmic receptor construction strategy uses fewer classes of aggregates and modalities for local results.

2. The emergent, may produce unreliable results, because of the indistinct ratios of molecules and classes.

It may be, however, that the emergent strategy could be utilized as an industrial precursor or secondary outcome.

3. The macrocosmic receptor construction strategy uses greater numbers of molecular aggregates - in distinct classes and ratios between the zones. Also, within the zones, there will be a greater number of distinct component molecules.

Restating from previous discourse in this chapter, chemical aggregates of known properties will have known tolerances and expenditure for certain and uncertain industrial conditions.

e.g. generally speaking, a unit whether 'natural/genetically based' or 'synthetic' will be an Input-Process-Output box that conforms to the following model. e.g. (fig.1)

Modeling a strategy in physical chemistry for the creation of Android 2 data, ultimately semantics. This can utilize the [HX] Assembly Language to describe the material behaviour of designed receptor aggregates.

agg.x ZONE 1 80 70 89 macro

A1 A2 A3

agg.y ZONE 2 50 30 45 meso

A4 A5 A6

agg.z ZONE 3 20 12 07 micro

A7 A8 A9

Aggregate X in zone 1 is comprised of components that significantly perform at greater than or equal to [70 - 100] where 100 represents the maximum known transference value of the contextual and operational environment. Within the tolerances within the receptor macro aggregate, however, there are other material relationships and dependencies that become empirically obvious in this case, in the order of; [A2, A1, A3].

From the environmental context of e.g. 100, A1 will buffer the transference of energy between the context and A2 and A3.

The context will donate to A2 and also A1 and A3.

If A2 chemically reacts, changes state or electrovalence etc then this can be detected locally and can in context be interpreted that desirable or undesirable aspects known to be within the context - a context containing A2 are also present within the operational remit of the Android 2.

If A5 in the sandwich in zone 2 of the Android 2 starts to react, then depending on instructions, the Android 2 toolset will be either fully usable or not used at al. The excitation of field strength between A2 and A5 as a result of operating within the physical parameters of the context can be used to direct the Android 2.

The masses, and scales, ratios and morphology of the materials present in aggregate x have been pre-selected and morphologically designed as tools to exploit a particular user-function.

The empirical and social agreements that allocate the relativity and number of partitions within and between the chemical and structural and morphological components of the macro of this mechanism and its industrial context will convey information pertinent to structural performance, integrity and dis-integrity with time according to the social expectations of the materials used. e.g. (fig.2)

Similarly with the meso and micro.

Thus according to Fajan's Rules and the industrial 'functional and structural material premise' modeled in terms of the [HX] tautological syllogism as stated above the efficiency and structural performance of all aspects of any material aggregate can be empirically monitored and described. e.g. (fig.3)

Within each zone are the layers of amalgams of materials of specific physical and chemical tolerances and capacities.

e.g. for zone1. upper and lower tolerance limits are: 95 - 70.

Aggregate mixtures: 3 types of - in this example, A1, A2, A3, of either chemical simplicity or complexity have a known history of interactivity under certain conditions as: A1a, A2a, A3a etc.

Their capacity to produce and conduct electrical information within and between; A1a, A2a, A3a, and A1b, A2b, A3b, A1c, A2c, A3c, A1d .. etc will be modeled by industry such that the targeted context for the mechanism and its components are exploiting the tolerances of the electro-physical and physical chemistry and demands within the operational context.

A1 A2 A3 etc

a 80 70 89

b 90 69 72

c 85 95 89

d 93 92 86

e 72 89 90

f 80 70 89

etc

Embedded within the primary receptor amalgams is (optionally) a secondary layer of data collection to collate and act as a transference target for the electrical activity (bridging activity) of the layer beneath.

This could take the form of (Layer1 + Node of layer -1) or Layer1 + Node of layer -2(100%)) and or e.g. (Layer1 + Nodes of Layers -1(80%) +

-2 (15%) + -3(5%) etc.

These e.g. transitional elements of known changeable allegiance can be used to reinforce the behaviour of the Android 2 in its target zone.

e.g. successful operations in an ultracold environment can only occur if the Android 2 first negotiates hotter problems. Hot elemental performance then ultracold elemental performance can be catered for using transitional elements that allow for a change of state under known physical conditions in the context.

By inbuilding the possibility of simultaneously catering for several types of electrical bridging activity gradients for the unit's materials there could be an increased possibility of systemic endurance within drastic physical changes of contextual performance.

The Android 2 would become more and more electromagnetically resonant until it discovered its target zone for the deployment of its toolset.

Using [HX] Assembler to construct a Universal Process Model [UPM] and a Scaling Relativity Model [SRM], e.g. The Plant Biology model, sufficient molecular distribution can be calculated using available Industrial knowledge.

Nesting of aggregates of various capacities within and between zones would build in the necessary and sufficient levels of interactivity within the zone classifications and between them. Thus the nesting of parameters can be made to more gradually upscale the levels of activity within the process being modeled.

Using the Physical Chemistry of molecular size and activity as used in the Biological world as an Android 2 modeling strategy - e.g. that predicates the complex behaviour of the Rhesus macaques spp. the zoning and orientation of primary elements and their systemic uses and context can be described in terms of [T] and [HX]. In Zone1 in the bio-model, the environmental bio-mass that creates the power core of the system is fed and maintained by external exploitation and therefore dependent on direct contextual competition e.g. bio-model, in terms of relative molecular abundance and importance and [T].

primary chemical element

ZONE1 CONTEXT and MACRO CARBON HYDROGEN

ZONE2 MESO CALCIUM IRON OXYGEN

ZONE3 MICRO NITROGEN PHOSPHATE

In the bio-model, in zone1, the organism is constructed from long-chain polysaccharides, driven by DNA descriptions that are empowered by water and other geological, complex ratios of micronutrients.

Relatively reactive elements nested within the complex carbon compounds e.g. porphyrin ring structure of carbon within the iron-based metabolism of the blood and bone marrow, and the phosphate transport system that includes nicotinamide adenide di-nucleotide phosphate for respiration and the complex carbon delivery mechanism, adenosine triphosphate that powers muscle activity.

The resultant organism e.g. Rhesus macaque spp. an 'old world' tropical rainforest monkey, negotiates through; aversion, aggression [Lorenz K] and also the 'bio-electric' transmission and reception of ideas [Sheldrake R], the energy and reproductive deficiencies within its niche.

Carbon-based life is ultimately exists by the combustion and oxidation of biomass, mediated by water, and other harnessed reactants e.g. phosphate.

Complex molecules enfolding the simple and more reactive molecules, deliver energy to sites of systemic toll, oxidation and structural competition, in a water-cooled medium.

The [HX] Plant Biology example with mammalian descriptors and empirical parameters would serve as a process description of a biological organism in a complex and changing ecosystem.

2 models for conscious computation.

1. the physico-chemical [TREES] resistor

2. the software analogy of [TREES] resistor

1. The Android 2, with a self-contained power unit can be modeled as an autonomous organism using the same laws and rules of chemistry and [T] i.e. Fajan's Rules and the Law of Osmosis, Inverse Power Law [HX].

The Digital Net Strategy utilises in an industrial context the relative differences in velocity of transference between aggregates, within and between skins and within and between zones to create sufficient responsiveness to the Unit's environmental context.

The use of Nodes within each layer will generally, globally magnify and enhance the empirical perception of activity within and between each layer creating more definite criteria for measurement at a given time.

The gradual upscaling and collation of data from electro-chemical activities within and between each layer of the Android 2 skin produces a computer that is encoded to and within the physical properties of its operational tolerances and remit. Its physical electro-chemical experiences, therefore are its behavioural experiences. Its qualitative systemic decisions, under 'observation of damage' therefore are its qualitative 'psychological' decisions.

The property of electrovalence - the movement of chemicals and electricity by Fajan's Rules is a universally defined, logical and tautological process.

The resultant internal electromagnetic fields have a known model.

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 computational mechanism.

The electromagnetic spectrum extends approximately from 10^21 hertz to 0 hertz - including in order of decreasing frequency; gamma rays, x-rays, ultraviolet, visible, infrared radiation, microwaves and radiowaves.

The molecular version of [TREES] would require cooling. It is a physical array or rheostat that can use the electrodynamics of heating effects, electromagnetic fields, or photonic events within electro-kinetics to create a relevant and context-sensitive data stream to supply its computational processes. e.g. a sensor picks up which parts of the array are ‘heating’ and translates that into other semantics by the use of [TREES] knowledge representation system.

The physical array though would require homeostatic cooling to keep the resistance and its effects in a constant location for the receptors to evaluate.

Heating effects, EMF, light and current distribution within various atomic aggregates and receptors and also current distribution in electric network electrolysis. The latter measures chemical change and distribution produced in an electrolyte by an electric current.

The electric current produces an electromagnetic interaction - a form of interaction between particles and or fields.

Analogical reading of these emissions at; Nodes, ganglia or CPU by e.g. a photonic array or other data capture material that will inform a context sensitive systemic response, can then be interpreted in terms of labels and adjectives and social and industrial empirical numbers.

The whole context sensitive, context tolerant robot is the whole operating platform in [AVOS].

Precedents within the fields of Biological Behaviourism and Sociological and Biological Existentialism illustrate that the atomic chemistry of self-regulating transitional element systems can attenuate and facilitate adaptive behaviour under systemic stress.

Android 2 creation and the creation of Android 2 behaviour and purpose, therefore are directly related to the composition, complexity, chemical ontologies and tolerances of the aggregates of its components.

The material analogies of the Fajan's transactions within the skin receptor and CPU processing strategies reflect on the operational continuity of the design and the quality of its data retrieval behaviour in conditions of ergonomic flux.

The layering of the chemicals such that macro pertains to one tree of knowledge representation, meso and micro pertain to other qualities of knowledge within the systemic transactions of the Android 2, produces electrical and empirical measurements and numbers that correspond in scale and equivalence to the scale and energies within other equivalent industrial and social realities.

The empirical performance of the; macro, meso and micro aggregates is such that contextual persistence; [@t] $ [@d] = +?, is being upheld by the macro and the meso. The micro aggregates, designed to exploit the bridging activities and chemical transactions within a certain context, are directly relevant; [@f] $ [@g] = +?, for data acquisition and systemic performance at time1.

Within the Android 2 aggregates, as an alternative to or augmentation of Nodes, there could also be a global Mesh within all or some layers to facilitate the collection and amplification of electrovalent data.

The mesh fibres could be a different tertiary material from the industrial context and would send its collected data to a local or central CPU ganglia that would count the frequency data collected by the sensory processes within the electrovalent activity of the skins.

Data can be created and collected by nesting the data collection material and by creating differences within and between molecular scales and ratios, by physically zoning this material in the industrial design process.

The industrial insulator used in the Android 2 and Bio-model examples is long chain hydrocarbons and or synthetic polymers.

In the two process examples, the ratio and relevance of the insulators/MACRO decreases as the ratio of sensory material/MICRO increases through interstitial phases, until the enfolded data reaches the CPU. In [HX], time1, The macro absorbs the context toll [@t] as the evolutionary asset feeds the CPU with primary directive data [@f].

The socially constructed chemical bridging activities having successfully interphased with other important chemical assets and behaviour 'in vivo'.

For the Android 2 strategy, [AVOS] to be successful, [HX] Assembler, [TREES], and empirical data for the operational context of the robot and its remit must be available.

The CPU, or central processing unit, is receiving information in [A] in environmental context about the relativity and behaviour of the Android 2 sensory mixtures, their ratios and scales and their relative interactivity and response to changes in the electrovalent molecular context with time.

The electromagnetic, inorganic and organic electrovalent properties and activities of the aggregates will create information about efficiency, performance, adaptation and change within and between the objects in each domain.

An industrially designed delivery system will convey this data to the CPU using some or all of the strategies outlined above.

This data analogously corresponds to the objects and labels and empirical measurements and scales of the database design called [TREES]. The [TREES] Knowledge Representation System is based upon the relativity of form and scale that we attribute with nouns, verbs adjectives and energy measurements, such that each object in [TREES] is an Input, Process, Output Box performing along the organic lines previously outlined in the Plant Biology [UPM] and [SRM].

The instruction set of the [AVOS] operating platform like all matter in the material universe is [T] or trinary, and is mapped into the set of essential numbers of the natural language [A].

In the given aggregate example there are three clear classes of aggregate within each zone that are relatively; macro, meso or micro within each of the three zones. i.e. three divisions in zone1, three divisions in zone2 and three divisions in zone3 at time1.

Within each zone, however, there could be a larger number of components within; macro, meso and micro.

With time, at time2, by using the physical properties of the receptor strategy as the instruction format for the [AVOS] platform, the essential language [A], - becomes domain specific chemical data. This low-level language is simultaneously both a Machine Code and Assembly Language and its various tripartite physical transitions and transactions can be modeled using the [HX] instruction set.

Assembly language [HX] used in the material design of the technology creates tripartite output in [A].

The data being collected by this process will be dedicated to the issues socially constructed within and between the atomic chemistry of the aggregates and the tasks that these materials were given to build the transference bridges and data feeding gradients between their interphases and the natural context.

Relative scales, velocities, complexities and simplicities, ratios, persistence, tolerance and entropy, self-regulation, maintenance etc all have numerical value within any social domain.

The [TREES] Knowledge Representation System which analogously corresponds to the objects, processes and labels with similar properties in the world of the industrial robot, uses social language in the form; macro, meso, micro, or; noun, verb, adjective etc.

in [TREES], the value of the electrophysical transaction as modeled in [HX] and by the finite 729 modalities of [A] enable value judgements to be passed upon the efficiency and compatibility of Bridging Constructs, their relative value and integrity and social worth.

The physical collection array for the [TREES] processing is envisioned to be a physical resistor of finer and finer subdivisions of greater physical resistance that is finally closed with maximum resistance, i.e. non conductivity at the end of every zoned tree.

e.g. under high input voltages parts of the physical resistor can be made to change state or emission style etc or increase their resistance. The use of sophisticated chemical engineering in the design of the resistor is desirable to produce closure at the end of each Chemical Tree [made up of designed context sensitive aggregates] as the input voltage increases.

The order of closure by the operational context of the physical [TREES] resistor will produce a linear and sequential shut off of; macro, then meso, then micro.

Closure of the physical [TREES] array can be produced either by contextual energies or that supplied by onboard power.

There are three trees in the CPU collection unit, each for the measurement of the Android 2 conductivity data supplied by the electrovalent performance of socially constructed chemical aggregates for zone1, zone2, zone3.

The CPU is in receipt of performance data for three levels of relativity within its physical and operational remit.

Composition of [TA] empirical object values

1. macro aggregates. zone1 e.g. 100 - 080 % nanovolts

2. meso aggregates. zone2 079 - 050 % millivolts

3. micro aggregates. zone3 001 - 049 % volts

Whilst the robotic shell, the macro, fends off the context toll, as in the [HX] Syllogism, it is seen to convey the context asset under exploration down its systemic bridge to the site of internal industrial evaluation as an industrial tool.

The activity levels of the electrochemistry of the specialised [TREES] aggregate resistor or array, [TA], will emit transference velocity information in various ways that are all measurable. e.g. EMF, light, heat etc.

The [TREES] array, [TA] will provide direct access to behavioural information about and within the industrial context under evaluation.

This transference information about relative object performance, complexity and velocity within considerations of; time, scale, relative persistence, ratios, etc. will enable empirical comparisons of roboticised aggregate interactions and behaviours with similar and or different arrangements of aggregates in other contexts and domains.

The one requirement of the [TREES] rheostat is that it is homeostatically maintained or cooled to keep the linear distribution of electrochemical changes on the plane of the resistor in synchrony with the adjacent detector array.

Android 1. The software analogy of [TREES]

Software can simulate the [TREES] resistor once supplied with the maximum and minimum empirical values within the task domain.

These maximum and minimum voltages can be applied in linear ratio to the orders of instantiation of macro, meso and micro tuples within the [TREES] knowledge representation system.

e.g. 2 nanovolts minimum is the order of 3^1, 10 millivolts is the order of 3^3, 100 millivolts is the order of 3^5, 10 volts maximum is the order of 3^9 etc and these empirical values can be directly translated into the semantic labels of the operational medium using all the toolset and operational context data available.

The [TREES] knowledge representation system can be represented in the linear form of ; 3 to 3^13, where the operations of the context are conducted with objects whose [a priori] empirical values lie in the range of 10-100 millivolts. The world of the android 1 is categorized by the physical attributes of its domain of operation within the medium of software and sensor feedback.