Your SlideShare is downloading. ×
Good Old Fashioned Artificial Intelligence
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Good Old Fashioned Artificial Intelligence

1,111
views

Published on

Explore the history and future of Axiology & AI

Explore the history and future of Axiology & AI

Published in: Technology, Spiritual

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,111
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
10
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Artificial Intelligence once presented great promise as prior researchers and philosophical explorers dared to step into the infinite space of the human mind. Such as John McCarthy who received his Turing award for recognition in the mathematical logic used in creating the AI development language called LISP. Today, Dr. Husserl’s work in phenomenology is being substantiated. Today, new potential of Dr. Hartman’s work is being presented that gives dimension to the broadening of static subjectiveness to cognitive temporality. Also today, Kurt Godel’s continuum hypothesis is being challenged as provable and last but not least, a contradiction to Alan Turing statement that the numbers and functions for GOFAI are to far too complex for any modern machine.
  • Many software architectures are being classified as Artificial Intelligence. No synthetic intelligence has yet to classify, subsequently all AI developments fall into the category of being either fuzzy systems meaning best guess, neural networks meaning that it is taught and the evolutionary meaning it learns. Synthetic intelligence best describes the once referred to as GOFAI, good old fashion artificial intelligence.
  • The goal once upon a time was to achieve the ability to synthetically emulate the human mind and observe its workings. From that alone great potential exists in the exploration in the field of phenomenological psychology. The most important thing about developing a GOFAI methodology is emulating what is probably the most important part of biological intelligence and that is the capability to learn, anticipate, predict and capability to recognize realized and unrealized potential in the evolution of its environment.
  • The problem with GOFAI making advancements is quit frankly knowing where to start and what to start with. In general the AI development community depict that GOFAI failure has been that the present level of development environments lack the programmatic capacity and bad operating systems.  
  • Unfortunately after thirty years of increasing unreliability and low productivity in software development, a new software development project can expect a 50% chance of never being deployed. In addition to unreliability and low productivity in the application development of software, is the growing unreliability and low productivity of the Internet. The Internet wasn’t planed and its growth was a phenomena. Everyone knows that information happens but the issue arises because the search is capturing unstructured and probably non-relevant results.
  • The future of the Internet is called the Semantic Web. The goal provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework. Now completing the third year in the semantics R&D to assist in evolving a better web experience.
  • For software developers, the ability to survive the millennium will require a change in the way software is designed. The modernized structure will need to have two core and fundamental capabilities. These capabilities are the ability to change and information dissemination without structured processes.
  • Standard software is typically made up of two distinctly different structures referred to as executable code and data.   By comprising the development architecture to have three distinct structures i.e., interchangeable frameworks, inference engine and data, the framework satisfies the ability to change and the engine satisfies information dissemination.
  • In addition to the ability to change and implement change, frameworks provide two additional convincing advantages. The first advantage is that a framework is created in a fraction of the time that Rapid Application Development requires. The second advantage to frameworks is the significant reduction in cost. To drastically reduce application development time, Application program interfaces or API’s will allow developers of structured processes to place greater resources to the algorithms. The concept distributes API’s as included in a custom framework or as drag-n-drop deployable into any framework. Application development is not obsolete, but rather the obsolescence is more relative to the methodology of structuring software programs.
  • Axiology is presently “static” meaning based upon the subjective by eye and hand questionnaire propositions. This interaction is referred to as post cognitive propositioning and not influenced by interactive axiom propositions that suggest asymptotic cognition. Subjectiveness by influences of asymptotic cognition may be interpreted as interactive cognitive propositioning. Many may wish to assert that Axiology is the best method of proof in the whole of the phenomenology of GOFAI. Axiology does in fact inertly fit the psychological phenomenology [bracketing], but Axiology does lack the second phenomenology of the subjectiveness to spatiotemporality. It is apparent Dr. Husserl had great influence on Dr. Hartman. It is also apparent that Dr. Hartman had the Psychological insights to differentiate the Radical in such manor that Dr. Husserl clearly lacked. Although Axiological value results are accurate and the value result is propositioned by subjectiveness, Dr. Hartman’s work was nearly completed, Axiology as known today lacks the [bracketing] of a full system dynamics that define spatiotemporality.
  • I discovered that the expansion of expressing asymptotic influences would be required to manifest a clarity to the methodology of building a GOFAI database management system. It was also apparent that I could achieve the expressions without altering the existing core definitions of Asymptotic Analysis or Asymptotic Geometry. Asymptotic analysis is a method of describing “limiting” behavior and Asymptotic geometry is a method to quantify surfaces virtually permeated within a spatial environment. I refer to the expanded expression set the Asymptotic Proposition.
  • Asymptotic Geometry is used for creating spatiotemporalities to be modeled in the dimension you wish to view exponentially powered by the number of “visible plains”, power of three or “cube” multiplied by the total view plains you wish to view “therefore 6 as a cube has six total plains”. This is why our particular view point of three dimensions become most significant, first importance is that it is the dimension we live in and the only one we can even truly conceive to exist. Therefore the dimension is the third dimension powered by the number of visible plains (set to three) view plains are set to six for three dimensional viewing of the dimension the framework will be manifested.
  • First is is best to understand the standard string theory. The standard string theory is 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 such as gravitational, electromagnetic, weak nuclear and strong nuclear forces.
  • The M-String Theory supports that super string theories may be related by dualities which 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 with exception that the inferences are from asymptotic influences
  • GOFAI asserts the need for the expression of asymptotic stratums or dualities. Stratums are made up of short, long and super-strings manifested to support object properties of the spatiotemporalities. Asymptotic stratums assert that a descriptive framework causes to exist by duality an asymptotic declarative framework. The stratums are linked by inference from spatiotemporality of the descriptive influence.
  • The Axiological values of systemic, extrinsic and intrinsic are based upon triples. Therefore set the Axiological framework width tp triples. Next we prepare the virtually differentiated surfaces for triples.
  • The spatial environment is now virtually differentiated into 162 surfaces. These 162 surfaces also are to accommodate the number set applicable to the dimensioning of the framework width of triples. Cognition is defined in 27 spatiotemporalities that transcend the Content Aware Object systematically thru the continuum. The defined cognition axiomates within a virtually differentiated spatial environment that is explainable by simple mathematics and geometric construction.
  • Temporal cognition is established by simple arithmetic of adding 3 single digit numbers for a modal result. In a properly numbered and differentiated spatial environment there are 9 uniquely differentiations that the modal result are the same. Based upon the subjective influences the cognition interacts upon axioms by moving the object and its properties (though) the aligning modal results to number sets defining the spatiotemporality
  • Three persistents and nine persistent plains
  • Stratums allow for content propositioned by a “Descriptive” “closed world” framework to be evaluated in “open world architectures” and dynamically create a ”Declarative” framework made up of concepts to manipulate the results
  • Transcript

    • 1. GOFAI & Axiology
      • Good Old Fashioned
      • Artificial Intelligence
      • Database Management Systems
    • 2. 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.
    • 3. 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
    • 4. Philosophical Recognitions
      • Dr. Edmund Husserl’s Phenomenology Psychology
      • Dr. Kurt Godel’s Continuum Hypothesis
      • Dr. Robert S. Hartman’s Formal & Applied Axiology
    • 5. 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.
    • 6. 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.
    • 7. 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.
    • 8. 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.
    • 9. Most Common Forms of AI
      • Computational Intelligence
      • Fuzzy systems
      • Neural networks
      • Evolutionary computation
    • 10. Least Common Forms of AI
      • can be studied
      • can be animated within the memory of the machine.
      • Synthetic Intelligence or GOFAI
      • the machine (PC) must inertly duplicate the human mind in such a manner that the synthetic mind
    • 11. 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
    • 12. 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
    • 13. 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.
    • 14. 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
    • 15. 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)
    • 16. 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
    • 17. 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.
    • 18. Asymptotic Analysis & Asymptotic Geometry
      • Asymptotic analysis is a method of describing “limiting” behavior.
      • Asymptotic geometry is a method to quantify surfaces virtually permeated within a spatial environment.
      Asymptotic Continuum
    • 19. Asymptotic Expression GOFAI Stratum Cognition
    • 20. 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
    • 21. 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
    • 22. 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.
    • 23. Stratum String Theory
      • Asymptotic stratum string theory applies content from
        • the “descriptive” “negative” “structure” “finite” “closed”
      • S elf
      • Synchronized by Persistent Influences to
        • the “declarative” “inclusive” “unstructured” “infinite” “open”
        • World
        • Realized Potential
        • Unrealized Potentials
    • 24. 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
    • 25. 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
        • d v * t
    • 26. GOFAI Asymptotic Continuum
      • Continuum modeled is the 3rd Dimension, with 3 visible plains and 6 total view points.
      • 3 3 * 6 = 162
      • The continuum is now spatially differentiated into 162 surfaces making up 27 Qubits.
      Asymptotic Tesseractic Tetracomb
    • 27. 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
    • 28. 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.
    • 29. Calculating a Hypercube
    • 30. Quantum Gates Cognitive Constellations 3 Constellations with modal 15 have 1,0,2 3 Prime Numbers 3 Constellations with modal 15 have 1,2,2 5 Prime Numbers 2 Constellations with modal 15 & 1 modal 20 have 1,2,2 5 Prime Numbers 3 Constellations with modal 15 have 1,2,0 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
    • 31. 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
    • 32. Asymptotic Persistent Unifiers Radical “Plains” [Content] [Domain] [Exposition] [Constructs] [Catalogs] [Containers] [Resource] [Retrieval] [Presentation] [Selection] [Animation] [Storage] Three Horizontal Persistents and Six Vertical Persistent Plains
    • 33. Stratum Cognitivity Between Ontology Landscapings Axiological Valuing
    • 34. The Asymptotic Continuum
    • 35. 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
    • 36. 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.
    • 37. 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
    • 38. 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
    • 39. 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
    • 40. 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.
    • 41. 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
    • 42. Thank you
      • Questions?
      • Big picture
        • http://www.mcqube.com
        • [email_address]