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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? Big picture http://www.web3.ez1020.com [email protected]