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Axiology
GOFAI & Axiology
Good Old Fashioned
Artificial Intelligence
Database Management Systems
Passing The Turing
A human judge engages in a natural
language conversation with two
other parties one a human and the
other a machine;
If the judge cannot reliably tell
which is which, then the machine is
said to pass the test.
It is assumed that both the human
and the machine try to appear
human.
History of AI
John McCarthy
Computer scientist
Received the Turing Award
in 1971
Mathematical logic
supporting the creation of
LISP
The choice for AI
development
Philosophical Recognitions
Dr. Edmund Husserl’s Phenomenology Psychology
Dr. Kurt Godel’s Continuum Hypothesis
Dr. Robert S. Hartman’s Formal & Applied Axiology
Mathematical Recognition
John Robert Hendricks
In 2000, mathematician JR Hendricks designed an
inlaid hypercube called “tesseracts”.
In mathematics, a hypercube is the k-dimensional
generalization of squares, cubes and tesseracts.
Meaning, a number of integers ordered in such that the
sum of the numbers of each pillar, along any axis as well
as the main space diagonals equal to a single number.
History of Hypercubes
Around 1000BC in china the magic square was
referred to as the Lo Shu Square or as the “scroll of
the River Lo”.
In the 1700’s, Benjamin Franklin constructed his
famous franklin squares.
Hypercubes began in 1886 and 1878 by Rev. A.H.
Frost who coined the term nasik for the type of
square commonly called pandiagonal and often
called perfect.
Hendricks model had 13 lines or number constellations
that sum correctly.
Technical Recognitions
Ross Ihaka and Robert Gentleman at the
University of Auckland, New Zealand.
R (Programming Language)
Semantic dialect of Lisp;
Widely used as the de-facto standard for
statistical software development.
Windows, Mac OS and several Linux operating
systems.
Significant Milestones
The first software development library was
achieved in 1987.
The library is used by over 10,000 Clipper
developers world wide.
The first paper inlaid hypercube modeling
was completed in 1998.
Software construction began in July of 2000.
Framework and engine completed in 2006.
Most Common Forms of AI
Computational Intelligence
Fuzzy systems
Neural networks
Evolutionary computation
Least Common Forms of AI
Synthetic Intelligence or GOFAI
the machine (PC) must inertly duplicate the human
mind in such a manner that the synthetic mind
can be studied
can be animated within
the memory of the
machine.
GOFAI Achievable
Failed attempts at GOFAI
were attributed to lack of
technical achievements
Inadequate development
environment for coding
Bad operating systems
GOFAI failed because of
structural design
Failure of the
Software Industry
The software development industry over its
30 year history has suffered from
Increasingly high unreliability
Low productivity
50% of all software development projects
that begin never get deployed
The Internet is increasingly experiencing
high unreliability and low productivity
Web 3.0
The Semantic Web
World Wide Web Consortium
(W3C) promotes the evolution
of the Internet.
The W3C is a non-profit organization that among other
things, develops industry standards and specifications
for the emerging semantic web
W3C is now completing its third year in the semantics
R&D to assist in evolving a better web experience.
Surviving the Millennium
The ability to change and implement change
Systems must to be declarative
Changes should not necessarily require a
computer programmer
Information dissemination without structured
processes
No hard coded application specific routines
GOFAI vs. Modern Software
Structuring
Modern software architectures are comprised
of two distinct structures
executable code
data storage readable only by the executable.
GOFAI software architectures are comprised
of three distinct structures.
Resource Descriptive Frameworks (Frameworks)
Executable code (Engine)
Storage (SQL Databases)
GOFAI
Framework Advantage
GOFAI Frameworks provide three key
advantages
Created in a fraction of time
Cost pennies to the thousands
Frameworks are editable
The ability to change and implement change
Application Program Interfaces drastically
reduce development time
Full System Dynamics
The following discusses Full System Dynamics that
define the GOFAI “continuum” and
“psychologically model the human mind”.
The continuum establishes cognition
Cognition is the information processing view of an individual
psychological functions.
Axiology defines the Persistent Ontology that models the
psychological property values.
The persistent comes from maintaining and developing basic
categories and relationships of the state of being or existence to
define types, subtypes and super-types within a framework.
Asymptotic Analysis &
Asymptotic Geometry
Asymptotic Continuum
Asymptotic analysis is a
method of describing
“limiting” behavior.
Asymptotic geometry is a
method to quantify surfaces
virtually permeated within a
spatial environment.
Asymptotic Expression
GOFAI Stratum Cognition
Asymptotic persistent number set to spatiotemporality
Resource(8,1,6), Storage(3,5,7), Retrieval(4,9,2)
Presentation(8,3,4)(9,5,1)(2,7,6),Selection(3,9,3)(5,5,5)(7,1,7),Animation(7,6,2)(1,5,9)(4,3,8)
Systemic(8,3,4), Extrinsic(1,5,9), Intrinsic(6,7,2)
W = {w | 1,2,3} = {Absolute,Inference,Reference}
S = {s | 1,2,3,4} = {Self[W],World[W],Potential[W],Unrealized Potential[W]}
TS = Trajectory(S)
d(i)[w(i)] = {i,w | 1,2,3} = {Resource[W],Storage[W],Retrieval[W]}
e(i)[w(i)] = {i,w | 1,2,3} = {Presentation[W],Selection[W],Animation[W]}
c(i)[w(i)] = {i,w | 1,2,3} = {Systemic[W],Extrinsic[W],Intrinsic[W]}
P1 = {e(i)[w(i)] | 1} = { {d(i)[w(i)] | 1,2,3}, {c(i)[w(i)] | 1,2,3} }
P2 = {e(i)[w(i)] | 2} = { {d(i)[w(i)] | 2,3}, {c(i)[w(i)] | 2,3} }
P3 = {e(i)[w(i)] | 3} = { {d(i)[w(i)] | 3}, {c(i)[w(i)] | 3} }
TS* = { }, {p1},{p2},{p3},{p1,p2},{p1,p3},{p2,p3},{p1,p2,p3}
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Standard String Theory
A model used for fundamental physics to make up
the building blocks of one dimensional strings
Strings give properties to zero-dimensional particles
With the string theory the possibility emerges that
“unify” the known natural forces by describing
them with the same set of equations
Gravitational, electromagnetic, weak nuclear and strong
nuclear
M-String Theory
The M-String Theory supports that super string
theories may be related by dualities
this allows one super string to infer to another super string
theory
Asymptotic stratum strings are similar to dual string
theory in that they unify strings using theoretic
dualities by inferences from asymptotic influences.
Stratum String Theory
Asymptotic stratum string theory applies content from
the “descriptive” “negative” “structure” “finite” “closed”
Self
Synchronized by Persistent Influences to
the “declarative” “inclusive” “unstructured” “infinite” “open”
World
Realized Potential
Unrealized Potentials
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Formulating the GOFAI
Continuum Model
Axiology is based upon triples
Systemic, Extrinsic and Intrinsic
Therefore set framework width (triples)
Prepare to differentiate the surfaces using the
following Continuum formula
d = dimension viewed, v = visible plains,
t = total plains
dv * t
GOFAI
Asymptotic Continuum
Asymptotic
Tesseractic Tetracomb
Continuum modeled is
the 3rd Dimension, with
3 visible plains and 6
total view points.
33 * 6 = 162
The continuum is now
spatially differentiated
into 162 surfaces making
up 27 Qubits.
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Pandiagonal Distribution of
Prime Numbers
The asymptotic distribution of prime number
sequencing for Tesseractic Tetracomb surfacing
provides 17 number set constellations.
8 sectional, 3 horizontal and 6 vertical number set
The differentiated spatial surfaces
are simple equations that produce
the same modal result called
Constellations.
Calculating a Hypercube
Quantum Gates
Cognitive Constellations
3 Constellations with
modal 15 have 1,0,2
3 Prime Numbers
2 Constellations with
modal 15 have
1 Prime Number
2 Constellations with
modal 15 have
2 Prime Number
2 Constellations with
modal 15 have
3 Prime Number
2 Constellations with modal
15 & 1 modal 20 have 1,2,2
5 Prime Numbers
3 Constellations with modal
15 have 1,2,2
5 Prime Numbers
3 Constellations with
modal 15 have 1,2,0
3 Prime Numbers
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Asymptotic Persistent Unifiers
Radical “Plains”
Three Horizontal Persistents and Six Vertical
Persistent Plains
[Domain]
[Content]
[Constructs]
[Catalogs]
[Containers]
[Resource]
[Storage]
[Retrieval]
[Exposition]
[Animation]
[Selection]
[Presentation]
Stratum Cognitivity Between
Ontology Landscapings
Axiological
Valuing
The Asymptotic Continuum
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
API Containers
API Containers store and retrieve information,
including application specific tasks.
Containers may include
API’s for labeling, editing,
calculations, interfacing
etc…
API Containers may be
framework interchangeable.
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
No Workstation Left Behind
Education is Important
The vocabulary and thesaurus are also based upon
spatiotemporality influences
210,000 possible cognitive lookup words
115,000 synonyms sets with definitions
140,000 root words
Prepare GOFAI with semantic awareness to
recognize and differentiate words as properties
Nouns, verbs, adjectives, adverbs, prepositions,
interjections and conjunctions.
Proper nouns are persons, places and things
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Extract
Descriptive Framework
Axiological Fractalization parses existing content
into an axiomatized ontology distinguished by
By type, subtype and super types
As nouns, verbs and subject matter
Disseminated into constructs, catalogs and containers.
The ontology is unique to the influences of
spatiotemporality.
GOFAI
Full System Dynamics
Building the GOFAI engine
Asymptotic Stratum String Theory
Asymptotic Geometric Differentiation
Asymptotic Number Set Theory
Asymptotic Persistent Unifiers
Accessorizing the GOFAI engine
API Containers
Educating the GOFAI
Training the GOFAI
Turing Test
Thank you
Questions?
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