knowledge theory & a unified theory of ai

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Knowledge Theory & A Unified Theory of AI. Y. X . Zhong Univ. of Posts & Telecom, Beijing yxzhong@ieee.org. List of Contents. 1, Fundamentals of Knowledge Theory. 2, How Is KT Crucial To AI?. Knowledge Theory: Fundamentals. Functional Definition of Knowledge. - PowerPoint PPT Presentation

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  • Knowledge Theory & A Unified Theory of AI Y. X . ZhongUniv. of Posts & Telecom, Beijingyxzhong@ieee.org

  • List of Contents 1, Fundamentals of Knowledge Theory 2, How Is KT Crucial To AI?

  • Knowledge Theory:Fundamentals

  • Knowledge is something that can be used for answeringcertain questions. The basic question is the standard alternative problem with 2n equally-possible answers, n>1. Its amount of question is defined as n unit of the amount of question n alt. If a piece of knowledge can exactly answer one of suchquestions, the amount of the knowledge is defined as n unitof the amount of knowledge n alt.Functional Definition of Knowledge1/21/2A Standard Alternative Question

  • Knowledge is a description of a class of events on -- their states at which the events may stay and -- the law the states may vary from one to another.Descriptive Definition of KnowledgeS(1)S(2)S(n)

  • Representation of KnowledgeThe key elements for knowledge representation are (1) The States (2) The Relationship among The StatesJohn gives Mary the bookGiveBookMaryG1B23JohnGiverObjectRecipientISAISA

  • General Representation of Knowledge Large-scale,Multi-Branch, Hierarchical,Dynamic and InteractedComplexNetwork withWeightsConcept is theElement of knowledge.

  • Compared with the definition of the epistemological information, it is found that knowledge is the result of theepistemological information refining (induction):

    States States Manner of State Varying Law of State Varying Epistemological Information is the description of an eventon its states at which the events may stay and the manner the states may vary from one to another.Relation between Knowledge & Information

  • Categorization of KnowledgeIt might be reasonable to classify the knowledge in accordancewith the branches of science & Technology. But, it will be meaningless for Knowledge Theory research. Instead, knowledge is suggested to classify into formal, content, and value componentsRepresentation: p (possibility), r (rationality), v (value)States x1 xn xNPossibility p1 pn pNRationality r1 rn rNValue v1 vn vN

  • Where n = (pn)(rn)(vn)K(P, P*;U), K(R, R*;U), K(V,V*;U)Measures of Knowledge Amount

  • InherentKnowledgeEmpiricalKnowledgeRegularKnowledgeCommonsenseKnowledge Internal Ecosystem of Knowledge Growth

  • External Ecosystem of Knowledge InformationKnowledgeIntelligenceCognitionDecisionMakingKnowledge is the crucial gateway for linking Information on one hand and intelligence on the other.

  • Information-Knowledge Transformation (Knowledge Discovery) General AlgorithmsInductionInductionDeduction SyntacticInformation PragmaticInformationGoalFormal KnowledgeValue Knowledge ContentKnowledgeSemantic

  • Knowledge-Intelligence Transformation: Algorithms in PrincipleDeduction/InductionAlgorithmsKnowledgeBaseInformation On P & CGIntelligentStrategy

  • Knowledge-Intelligence TransformationAlgorithm More SpecificGoalProblemConstraintsKB

    AnalysisInferenceComputation

    Comparison&DistanceComputingIntelligentStrategy

  • 2, How Is KT Crucial to AI?

  • Sensor-MotorValidation

    Expert SystemNeural NetworkP-C-GKT and The Unified AI InformationKnowledgeIntelligenceI-Action AcquisitionExecutionPopularizationE.KR.KR.KC.KC.K-2C.K-1

  • Framework & Algorithms Are FeasibleAlgorithms for Knowledge Intelligence Transformation -- Experience-Based: Neural Networks and the like -- Regular K-Based: Expert Systems -- Common K-Based: Senor-Motor Algorithms for Information Knowledge Transformation -- information experience: Induction Algorithms (PR, Data-Mining, Knowledge Discovery, ) -- old knowledge new one: Deduction Algorithms (Logic Reasoning, Rough Set Theory) -- Regular K Common knowledge: popularization

  • Implications & Open Problems

  • 1, Knowledge Theory is important because it is a midway to intelligence. Intelligence Theory is important because it is the ability to solve problems (Macro Ecosystem). 3, The transformation of information-knowledge-intelligence will play a central role in the development of science and technology in formation age as that of energy conversion in industrial age.2, Due to the knowledge ecology (Micro Ecosystem), AI should mean the trinity (Unification) of traditional AI, Computational Intelligence and senor-motor systems.

  • Thank You for Comments !

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