Mapping Noosphere

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    Mapping the NoosphereA semantic engineering perspective

    Pierre Lvy, CRC, FRSC

    Planetary CollegiumMontreal Summit 2007

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    Collective Intelligence

    Definition

    Collective memory

    Coordinated cognitive operations

    Dynamic of improvements

    The use of intellectual/noetic technologies

    Coupled with human development and theexpansion of consciousness

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    Digital Memory Architecture

    Computer Interconnection between transistors.Computer memory = bits addresses.Operating systems. Applications software

    Augmentation of logical and arithmetical processing.

    Internet Interconnection between computers.Internet Protocol = information servers addresses.

    Routers.Personal computing. Virtual communities. Digitized mediaconvergence.

    Interconnection between documents.

    URL = http://pages addresses.Search engines, browsers.Global multimedia hypertextual public sphere.

    Web

    Noosphere Interconnection between significations.

    concepts addresses .Semantic computing,multimedia exploration of semantic space.A shared virtual semantic memory. Global collectiveintelligence. Augmentation of interpretation.

    1950

    1980

    1995

    2015

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    The Noosphere Conundrum

    Finding a concepts addressing system ableto coordinate collective memory

    Independent from languages and ontologies,with neither exclusion nor privilege =>

    (semantic metadata). Supporting the automation of cognitive

    fonctions =>(semantic programming).

    Allowing the representation, observation,simulation and enhencement of collectiveintelligence by cyberspace/pervasivecomputing.

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    An Architecture for the Noosphere

    Generative semantics

    Information Economy Meta Language

    Semantic Space Semantic addresses

    Semantic perspectives

    Collective Intelligence

    Semantic metadata (values & references onsemantic addresses)

    Semantic automata (transformation ofsemantic metadata)

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    Linguistics: SignifierScholastics: VoxPeirce: sign foundationHusserl: NoemSemantic addressing Fonction

    Linguistics : ReferentScholastics : ResPeirce: ObjectHusserl: Object

    Indexing Function

    Linguistics: Signified, interpretationScholastics: ConceptusPeirce: InterpreterHusserl: Intentionnality

    Evaluation function

    Sign

    Being

    Thing

    Pierre Lvy, CRC, Universit dOttawa

    Representation

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    Semantic Elements

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    IEML

    25 Events

    625 Relations

    240.106 Ideas

    Root Ideas

    Inflected Ideas

    1026 Phrases

    Performatives Phrases (O source)

    Propositional Phrases (M source)

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    Events

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    Semantic / Noetic Automata

    Definition of a semantic automaton

    A composition of semantic functions(trajectories, metamorphosis, automatic

    ranking, logical functions, set operations,semantic form recognition...) defined onsemantic metadata.

    Semantic programming

    The design of semantic metadata(variables) should be closely linked withaddressing, valuation and indexingfunctions (operators).

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    Planetary Collegium

    Noosphere Observatories ?

    Collective intelligence (noetic life) can

    be represented, observed, supportedand augmented by ecosystems of

    semantic automata in semantic space

    Artistic R & D: semantic metadata,

    automata and transformations can feed

    multimedia production programs and

    machines

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    Collective

    Intelligence creationcreation

    creation creation

    Collective Intelligence Dynamics

    aspiration

    aspiration

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    IEML

    25 Events D = {ESo, EDe}

    625 Relations R = {DSo, DDe}

    240.106 Ideas I = {RSo, RDe, RTr}

    Root Ideas = {RSo, RDe} Inflected Ideas = {RSo, RDe, RTr}

    1026 Phrases P = {ISo, IDe, ITr}

    Performatives Phrases (O source) {So action, De object, Tr actant}

    Propositional Phrases (M source) {So subject, De attribute, Tr condition}

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    Generative semantics

    Semantic flow: {So, De, Tr}

    Empty roles

    Articulation degrees, semantic product

    Elements : {U, A, S, B, T} Semantic colors : {O, M}

    Verbal color O = {U, A}

    Nominal color M = {S, B, T}

    Flows are coloured by their sources Semantic weights : {O1, M2, U1, A2, S3,

    B4, T5}

    Weights of same degrees can be added

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    Semantic Addressing

    Semantic Space 3 axis : PSo, PDe, PTr

    Semantic Space units are semes, triplescomposed ofSo phrase, De phrase and

    Trphrase Semantic perspectives (there are as many

    semantic perspectives as strict orders on thephrases of the axes)

    Semantic addresses A semantic address is :

    a set of semes

    a graph of phrases

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    Semantic Metadata

    Metadata structure

    S: Unique Semantic Address

    B : Values

    Ordinal numbers / ranking functions Cardinal numbers / measurement functions

    T : References links toward documents addresses / indexation

    functions

    Concept : a set of metadata on which afunction is defined

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    Semantic functions S* : Addressing functions

    Semantic products (matrices)

    Semantic transformations (substitutions) Trajectories

    Symmetries (So / De / Tr)

    Rotation (cycles)

    Translation (reversibles

    Metamorphosis Operations on sets (union, intersection, difference)

    Folding (wraping-compression/ unwraping-decompression)

    Other

    B* : Valuation functions Automatic ranking

    Logical functions (truth) Semantic form recognition

    Other arithmetic functions

    T* : Indexation functions