SlideShare une entreprise Scribd logo
1  sur  34
William P. Hall National Fellow Australian Centre for Science, Innovation and Society - University of Melbourne DIS: ICT 5.39 - 8344 1522 Head Office / Engineering Tenix Defence, Williamstown [email_address] Visiting Faculty Associate University of Technology Sydney Dept Info Sci - 13/10/2006 Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Organised Systems: Genesis of a theoretical framework
Some background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The work summarised here began ~1977 in response to paradigmatic misunderstandings over my PhD ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
KM is a mess in several other areas as well with too many poorly understood paradigms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Donaldson, L. 1995. American Anti-Management Theones of Organization, Cambridge, UK: Cambridge University Press – see also  McKelvey, B. 1997. Quasi-natural organization science. Organization Science 8:352-380
Foundation Problems in KM: We can’t even define knowledge consistently ,[object Object],Stenmark, D. 2002.  Information vs. Knowledge: The Role of intranets in Knowledge Management . In Proceedings of HICSS-35, Hawaii, January 7-10, 2002  *   *  Full text free to the web Justified, true beliefs  Data vested with meaning  Facts and messages  Choo et al. (2000)  Text that answers the questions why and how  Text that answers the questions who, when, what, or where  Text that does not answer questions to a particular problem  Quigley and  Debons  (1999)   Experiences, values, insights, and contextual information  A message meant to change the receiver’s perception  A set of descrete facts  Davenport and  Prusak  (1998)   Valuable information from the human mind  Data with relevance and purpose  Simple observations  Davenport (1997)   The ability to assign meaning  Data with meaning  Not yet interpreted symbols  Spek  and  Spijkervet  (1997)   * Commitments and beliefs created from these messages  A flow of meaningful messages  Nonaka  and Takeuchi (1995) Truths and beliefs, perspectives and concepts, judgements and expectations, methodologies and know how  Facts organised to describe a situation or condition  Wiig  (1993) Knowledge Information Data Author(s)
Conflicting paradigms of knowledge in KM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Incommensurability of the paradigms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key ideas for answering “What is knowledge?” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is knowledge? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Popper's  t hree  w orlds ,[object Object],Regulate/Control Organismic/Personal Knowledge  exists in World 2 Emerges from  World 1 processes Objective  Knowledge forms  World 3 Persistent logical  Content produced / evaluated by World 2 processes ©  William P. Hall 3. Expressed language Computer memory Recorded thought Logical artefacts Heredity Reproduction/Production 2. Cybernetic self-regulation Consciousness Cognition Drive/Enable Development/Recall Inferred logic Describe/Predict Test Observe 1. Energy Thermodynamics Physics Chemistry Biochemistry Existence/Reality World 1
Karl  Popper's "tetradic schema" or  "general theory of evolution " ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],TS 1 TS 2 • • • • • TS m P n P n +1 EE TS 1 TS 2 • • • • • TS m P n P n +1 EE TS 1 TS 2 • • • • • TS m P n P n +1 EE
John Boyd's OODA Loop process wins conflicts ,[object Object],A O OBSERVE (Results of Test) OBSERVATION PARADIGMS EXTERNAL INFORMATION CHANGING CIRCUMSTANCES UNFOLDING ENVIRONMENTAL RESULTS OF ACTIONS ORIENT D DECIDE (Hypothesis) O CULTURE PARADIGMS PROCESSES GENETIC HERITAGE MEMORY OF HISTORY INPUT ANALYSIS  SYNTHESIS ACT (Test) GUIDANCE AND CONTROL PARADIGMS UNFOLDING INTERACTION WITH EXTERNAL ENVIRONMENT
Some OODA definitions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Maturana and Varela: autopoiesis defines life ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Paradigm of the autopoietic organised system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Complexity theory:  Hierarchically complex dissipative systems  a nd the focal level (complex triad) HIGH LEVEL SYSTEM / ENVIRONMENT SYSTEM SYSTEM SYSTEM SUBSYSTEMS boundary conditions, constraints, regulations FOCAL LEVEL Possibilities initiating conditions universal laws "material  - causes" ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Emergence of knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],Knowledge: a phenomenon of emergent and evolving autopoiesis Tentative  solutions Coalescence / Emergence † Stable  solutions Stabilised autopoiesis † Selected  solutions Dispositional autopoiesis † Semiotic autopoiesis Knowledge sharing Shared solutions † Criticised solutions Dis-integration Integration Turbulence Evolutionary Stage
Emergent  orders  of autopoietic complexity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reproduction, sex, and diversification (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reproduction, sex, and diversification (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Knowledge in higher order autopoiesis (1) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Knowledge in higher order autopoiesis (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The organisation is a complex system in the environment ,[object Object],[object Object],[object Object],Constraints  and boundaries (laws of nature determine what is possible) Processes The organisation's imperatives and goals Energy (exergy) Recruitment Materials Income Observations Entropy/Waste Products Departures Expenses Actions
Some concepts building on autopoiesis theory and Karl Popper's theory of knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],WORLD 1 ("everything") Medium or supersystem Resources People Economics Information Constraints { Organisation 1 Organisation 3 Organisation 2 Organisation 4
Knowledge in an autopoietic entity AUTOPOIETIC SYSTEM Constrain/Control Observe/Measure Recall Material Reality WORLD 1 Embodied cybernetic knowledge WORLD 2 ITERATION/SELECTION THROUGH TIME Produce Symbolically encoded knowledge/ memory WORLD 3
Personal Research http://www.orgs-evolution-knowledge.net/ Emergent autopoietic vortexes forming  world 2  and  world 3  in a flux of exergy to entropy World 1    Flux along the focal level   Symbolic knowledge Embodied  knowledge Autonomy Autocatalytic metabolism Material cycles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exergy source Entropy sink
Cognition (terms are meaningful in relation to autopoietic or artificially intelligent systems) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Coombe's hierarchy in the autopoietic entity Environment Autopoietic system Cell Multicellular organism Social organisation State Perturbations Observations ( data ) Classification Meaning An "attractor basin" Related  information Memory of history Semantic processing to form  knowledge Predict, propose Intelligence
Another view Decision Medium/ Environment Autopoietic system World State 1 Perturbation Transduction Observation Memory Classification Evaluation Synthesis Processing Paradigm Assemble Response Internal changes Effect action Effect Iterate Conscious OODA Loop in Material Terms Codified knowledge Observed internal changes Time World State 2
Paradigm of the autopoietic organization (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Existing users of Autopoiesis neglect World 3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Organisational knowledge in World 3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]

Contenu connexe

Tendances

Tendances (20)

Qualitative research design
Qualitative research designQualitative research design
Qualitative research design
 
QUALITATIVE RESEARCH
QUALITATIVE RESEARCHQUALITATIVE RESEARCH
QUALITATIVE RESEARCH
 
Descriptive research design
Descriptive research designDescriptive research design
Descriptive research design
 
Class 1 PowerPoint slides
Class 1 PowerPoint slidesClass 1 PowerPoint slides
Class 1 PowerPoint slides
 
Methodology
MethodologyMethodology
Methodology
 
Merriam Ch 3_5.24.10
Merriam Ch 3_5.24.10Merriam Ch 3_5.24.10
Merriam Ch 3_5.24.10
 
Case study and Ethnography
Case study and EthnographyCase study and Ethnography
Case study and Ethnography
 
Qualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily LifeQualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily Life
 
Research for daily life 1
Research for daily life 1Research for daily life 1
Research for daily life 1
 
Exploratory Research Design - Meaning and Methods
Exploratory Research Design - Meaning and MethodsExploratory Research Design - Meaning and Methods
Exploratory Research Design - Meaning and Methods
 
Qualitative Research
Qualitative ResearchQualitative Research
Qualitative Research
 
Types of researches
Types of researchesTypes of researches
Types of researches
 
Merriam Ch 2_5.12.10
Merriam Ch 2_5.12.10Merriam Ch 2_5.12.10
Merriam Ch 2_5.12.10
 
Qualitative
QualitativeQualitative
Qualitative
 
quality design.pptx
quality design.pptxquality design.pptx
quality design.pptx
 
Doing Interpretive Research
Doing Interpretive ResearchDoing Interpretive Research
Doing Interpretive Research
 
Life history in qualitative research
Life history in qualitative researchLife history in qualitative research
Life history in qualitative research
 
Research Methodology
Research MethodologyResearch Methodology
Research Methodology
 
Qualitative research
Qualitative researchQualitative research
Qualitative research
 
Qualitative research
Qualitative researchQualitative research
Qualitative research
 

Similaire à Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Organised Systems:

Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...
Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...
Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...William Hall
 
Reading and writing a massive online hypertext - Meetup session 3
Reading and writing a massive online hypertext - Meetup session 3Reading and writing a massive online hypertext - Meetup session 3
Reading and writing a massive online hypertext - Meetup session 3William Hall
 
Understanding the adaptive value of knowledge - Meetup session 5
Understanding the adaptive value of knowledge - Meetup session 5Understanding the adaptive value of knowledge - Meetup session 5
Understanding the adaptive value of knowledge - Meetup session 5William Hall
 
Epistemology, technology and knowledge growth - Meetup session 4
Epistemology, technology and knowledge growth - Meetup session 4Epistemology, technology and knowledge growth - Meetup session 4
Epistemology, technology and knowledge growth - Meetup session 4William Hall
 
A technology architecture for managing explicit knowledge over the entire lif...
A technology architecture for managing explicit knowledge over the entire lif...A technology architecture for managing explicit knowledge over the entire lif...
A technology architecture for managing explicit knowledge over the entire lif...William Hall
 
Science Curriculum Design
Science Curriculum DesignScience Curriculum Design
Science Curriculum Designelavolet
 
Knowledge and Life: What does it mean to be living?
Knowledge and Life: What does it mean to be living?Knowledge and Life: What does it mean to be living?
Knowledge and Life: What does it mean to be living?William Hall
 
Interpretive frameworks -spring13
Interpretive frameworks -spring13Interpretive frameworks -spring13
Interpretive frameworks -spring13paul_ilsley
 
Politics and Pragmatism in Scientific Ontology Construction
Politics and Pragmatism in Scientific Ontology ConstructionPolitics and Pragmatism in Scientific Ontology Construction
Politics and Pragmatism in Scientific Ontology ConstructionMike Travers
 
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...Life, Knowledge and Natural Selection ― How life (scientifically) designs its...
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...William Hall
 
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...The Epistemology of Living Organizations ― Theoretical Foundations and Practi...
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...William Hall
 
Qualitative methods in Psychology Research
Qualitative methods in Psychology ResearchQualitative methods in Psychology Research
Qualitative methods in Psychology ResearchDr. Chinchu C
 
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...Philosophy in the library: Developing Critical Thinking Skills for Future Lit...
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...IL Group (CILIP Information Literacy Group)
 
Evolutionary epistemology versus faith and justified true belief: Does scien...
Evolutionary epistemology versus faith and justified true belief:  Does scien...Evolutionary epistemology versus faith and justified true belief:  Does scien...
Evolutionary epistemology versus faith and justified true belief: Does scien...William Hall
 
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Adam Ford
 
Epis Ph D2010 Prof Abdullah
Epis Ph D2010  Prof AbdullahEpis Ph D2010  Prof Abdullah
Epis Ph D2010 Prof AbdullahAnita Adnan
 
Philosophic stances of Qualitative Research
Philosophic stances of Qualitative ResearchPhilosophic stances of Qualitative Research
Philosophic stances of Qualitative Researchpaul_ilsley
 
Human and Artificial Intelligence
Human and Artificial IntelligenceHuman and Artificial Intelligence
Human and Artificial Intelligenceorengomoises
 

Similaire à Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Organised Systems: (20)

Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...
Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...
Hall, W.P. 2006. Emergence and growth of knowledge and diversity in hierarchi...
 
Reading and writing a massive online hypertext - Meetup session 3
Reading and writing a massive online hypertext - Meetup session 3Reading and writing a massive online hypertext - Meetup session 3
Reading and writing a massive online hypertext - Meetup session 3
 
Understanding the adaptive value of knowledge - Meetup session 5
Understanding the adaptive value of knowledge - Meetup session 5Understanding the adaptive value of knowledge - Meetup session 5
Understanding the adaptive value of knowledge - Meetup session 5
 
Epistemology, technology and knowledge growth - Meetup session 4
Epistemology, technology and knowledge growth - Meetup session 4Epistemology, technology and knowledge growth - Meetup session 4
Epistemology, technology and knowledge growth - Meetup session 4
 
A technology architecture for managing explicit knowledge over the entire lif...
A technology architecture for managing explicit knowledge over the entire lif...A technology architecture for managing explicit knowledge over the entire lif...
A technology architecture for managing explicit knowledge over the entire lif...
 
Science Curriculum Design
Science Curriculum DesignScience Curriculum Design
Science Curriculum Design
 
Knowledge and Life: What does it mean to be living?
Knowledge and Life: What does it mean to be living?Knowledge and Life: What does it mean to be living?
Knowledge and Life: What does it mean to be living?
 
Epistemology Essay
Epistemology EssayEpistemology Essay
Epistemology Essay
 
Interpretive frameworks -spring13
Interpretive frameworks -spring13Interpretive frameworks -spring13
Interpretive frameworks -spring13
 
Politics and Pragmatism in Scientific Ontology Construction
Politics and Pragmatism in Scientific Ontology ConstructionPolitics and Pragmatism in Scientific Ontology Construction
Politics and Pragmatism in Scientific Ontology Construction
 
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...Life, Knowledge and Natural Selection ― How life (scientifically) designs its...
Life, Knowledge and Natural Selection ― How life (scientifically) designs its...
 
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...The Epistemology of Living Organizations ― Theoretical Foundations and Practi...
The Epistemology of Living Organizations ― Theoretical Foundations and Practi...
 
Qualitative methods in Psychology Research
Qualitative methods in Psychology ResearchQualitative methods in Psychology Research
Qualitative methods in Psychology Research
 
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...Philosophy in the library: Developing Critical Thinking Skills for Future Lit...
Philosophy in the library: Developing Critical Thinking Skills for Future Lit...
 
Evolutionary epistemology versus faith and justified true belief: Does scien...
Evolutionary epistemology versus faith and justified true belief:  Does scien...Evolutionary epistemology versus faith and justified true belief:  Does scien...
Evolutionary epistemology versus faith and justified true belief: Does scien...
 
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...
Life, Knowledge and Natural Selection― How Life (Scientifically) Designs its ...
 
Epis Ph D2010 Prof Abdullah
Epis Ph D2010  Prof AbdullahEpis Ph D2010  Prof Abdullah
Epis Ph D2010 Prof Abdullah
 
Philosophic stances of Qualitative Research
Philosophic stances of Qualitative ResearchPhilosophic stances of Qualitative Research
Philosophic stances of Qualitative Research
 
Human and Artificial Intelligence
Human and Artificial IntelligenceHuman and Artificial Intelligence
Human and Artificial Intelligence
 
chapter13
chapter13chapter13
chapter13
 

Dernier

WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 

Dernier (20)

WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 

Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Organised Systems:

  • 1. William P. Hall National Fellow Australian Centre for Science, Innovation and Society - University of Melbourne DIS: ICT 5.39 - 8344 1522 Head Office / Engineering Tenix Defence, Williamstown [email_address] Visiting Faculty Associate University of Technology Sydney Dept Info Sci - 13/10/2006 Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Organised Systems: Genesis of a theoretical framework
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Knowledge in an autopoietic entity AUTOPOIETIC SYSTEM Constrain/Control Observe/Measure Recall Material Reality WORLD 1 Embodied cybernetic knowledge WORLD 2 ITERATION/SELECTION THROUGH TIME Produce Symbolically encoded knowledge/ memory WORLD 3
  • 27. Personal Research http://www.orgs-evolution-knowledge.net/ Emergent autopoietic vortexes forming world 2 and world 3 in a flux of exergy to entropy World 1  Flux along the focal level  Symbolic knowledge Embodied knowledge Autonomy Autocatalytic metabolism Material cycles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exergy source Entropy sink
  • 28.
  • 29. Coombe's hierarchy in the autopoietic entity Environment Autopoietic system Cell Multicellular organism Social organisation State Perturbations Observations ( data ) Classification Meaning An "attractor basin" Related information Memory of history Semantic processing to form knowledge Predict, propose Intelligence
  • 30. Another view Decision Medium/ Environment Autopoietic system World State 1 Perturbation Transduction Observation Memory Classification Evaluation Synthesis Processing Paradigm Assemble Response Internal changes Effect action Effect Iterate Conscious OODA Loop in Material Terms Codified knowledge Observed internal changes Time World State 2
  • 31.
  • 32.
  • 33.
  • 34.