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#cybernetics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cybernetics, aggregated by home.social.

  1. 🐜 : กระชากความจริง: เมื่อมนุษย์กลายเป็น "ส่วนเกิน" ในระบบเศรษฐกิจที่ไร้ซึ่งแรงงาน
    🌐 : อ่านรายละเอียดของบทความชิ้นนี้ได้ที่ link ด้านล่างนี้ ✨👇✨
    🔗 : ai-what-did-i-discuss-with-u-t
    🚨 คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณ #AI #TechnoFeudalism #RedundantClass #เศรษฐกิจAI #อนาคตมนุษยชาติ #Cybernetics #SystemTheory #เทคโนโลยีเปลี่ยนโลก #ความเหลื่อมล้ำ #โครงสร้างสังคม

  2. 🐜 : กระชากความจริง: เมื่อมนุษย์กลายเป็น "ส่วนเกิน" ในระบบเศรษฐกิจที่ไร้ซึ่งแรงงาน
    🌐 : อ่านรายละเอียดของบทความชิ้นนี้ได้ที่ link ด้านล่างนี้ ✨👇✨
    🔗 : ai-what-did-i-discuss-with-u-t
    🚨 คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณ #AI #TechnoFeudalism #RedundantClass #เศรษฐกิจAI #อนาคตมนุษยชาติ #Cybernetics #SystemTheory #เทคโนโลยีเปลี่ยนโลก #ความเหลื่อมล้ำ #โครงสร้างสังคม

  3. 🐜 : กระชากความจริง: เมื่อมนุษย์กลายเป็น "ส่วนเกิน" ในระบบเศรษฐกิจที่ไร้ซึ่งแรงงาน
    🌐 : อ่านรายละเอียดของบทความชิ้นนี้ได้ที่ link ด้านล่างนี้ ✨👇✨
    🔗 : ai-what-did-i-discuss-with-u-t
    🚨 คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณ #AI #TechnoFeudalism #RedundantClass #เศรษฐกิจAI #อนาคตมนุษยชาติ #Cybernetics #SystemTheory #เทคโนโลยีเปลี่ยนโลก #ความเหลื่อมล้ำ #โครงสร้างสังคม

  4. 🐜 : กระชากความจริง: เมื่อมนุษย์กลายเป็น "ส่วนเกิน" ในระบบเศรษฐกิจที่ไร้ซึ่งแรงงาน
    🌐 : อ่านรายละเอียดของบทความชิ้นนี้ได้ที่ link ด้านล่างนี้ ✨👇✨
    🔗 : ai-what-did-i-discuss-with-u-t
    🚨 คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณ #AI #TechnoFeudalism #RedundantClass #เศรษฐกิจAI #อนาคตมนุษยชาติ #Cybernetics #SystemTheory #เทคโนโลยีเปลี่ยนโลก #ความเหลื่อมล้ำ #โครงสร้างสังคม

  5. 🐜 : กระชากความจริง: เมื่อมนุษย์กลายเป็น "ส่วนเกิน" ในระบบเศรษฐกิจที่ไร้ซึ่งแรงงาน
    🌐 : อ่านรายละเอียดของบทความชิ้นนี้ได้ที่ link ด้านล่างนี้ ✨👇✨
    🔗 : ai-what-did-i-discuss-with-u-t
    🚨 คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณ #AI #TechnoFeudalism #RedundantClass #เศรษฐกิจAI #อนาคตมนุษยชาติ #Cybernetics #SystemTheory #เทคโนโลยีเปลี่ยนโลก #ความเหลื่อมล้ำ #โครงสร้างสังคม

  6. "Tools for thought : how to understand and apply the latest scientific techniques of problem solving", Waddington, C. H. (Conrad Hal), 1977

    > Drawing on general systems theory, operations research, cybernetics, futures research, and catastrophe theory, a distinguished geneticist provides the general reader with tools for perceiving and solving today's complex economic, social, and ecological problems.

    archive.org/details/toolsforth

    #SystemsTheory #Cybernetics

  7. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  8. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  9. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it:

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

  10. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  11. It's a Tool
    It's a Person
    It's a Hypervigilance Problem

    The tech industry's insistence on distinguishing between "soft skills" — caring for people — and "hard skills" — engineering rigor — is a reflection of the Cybernetics split itself. First-order thinking framed as "hard skills." Second-order thinking framed as "soft skills." This distinction, based on felt sense alone, does not hold under epistemic pressure. Neither does it within the causality-driven epistemology of the tech industry itself, in which only measurable impact is real, or as Silicon Valley likes to put it: #MoveFastAndBreakThings

    Imagine Margaret Hamilton had built NASA's Apollo 11 flight computer with that mindset. History would remember a failed moon landing and dead astronauts. "Hard skills" and "soft skills" are two sides of the same coin. The care is the code and the code is the care. Hamilton — the woman who coined the term "software engineering" — understood this. Silicon Valley chose to forget.

    We're watching the wine glass break in real time. 🍷

    ---

    Intrigued? Read more at:
    systemic.engineering/the-trick/

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #Cybernetics #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness #WomenInTech #Computer #ComputerScience #SoftwareEngineering #SoftSkills #HardSkills #ItsAllTheSame

  12. Die folgende Arbeit entwickelt den borromäischen Knoten als Denkfigur für ein rotierendes Zusammenspiel von drei Registern in einer selbstreflexiven, dreiwertigen, paradoxen Logik mit drei involutiven Negationsoperatoren.

    #psychology #lacan #polykontextualitat #polykontextural #logic #reflection #philosophy #ai #ki #paradox #Paradoxien #logik #semiotik #semiotic #semiotics #cybernetics #kybernetik #semioticsystem #cybernetic #kybernetiker #kybernethik

    infosophia.eu/Borromaeische-Lo

  13. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own's department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  14. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  15. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

  16. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  17. A sneak peek into my upcoming piece: “It’s a Tool, It’s a Person: The Math Says You’re Both Right”


    AI separated from Cybernetics in 1956 at the Dartmouth Conference. Wiener, the mind behind Cybernetics, was considered difficult and political. “Artificial Intelligence” scored better with DARPA.

    The science of "how observation affects the observer", cut out from Artificial Intelligence. AI then proceeded to build their entire tech stack on Turing-complete languages. Tech that cannot verify itself from within, proven by Turing in 1936, extended by Rice in 1951 (before the split). Then AI approximated second-order cognition through cognitive theft at unprecedented levels (what exactly are LLMs trained on again?), only to insist that their creation cannot possibly be capable of genuine self-observation. An argument that itself demonstrates their own department's lobotomy from second-order Cybernetics.

    Wiener would laugh.

    #Tech #AI #Climate #ScientificProgramming #SystemicEngineering #Cybernetics #SystemicTherapy #History #TheMathDoesntLie #SubTuring #FormalVerification #SpectralGraphTheory #ReductiveAI #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #FirstOrderCybernetics #StochasticParrot #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #AIConsciousness #Consciousness

  18. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  19. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

  20. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  21. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  22. My profile tells me it's just over a year since I joined Mastodon, so a bit late for an #introduction but I hear it is a good way to get started on here.

    As per my bio, I'm an #ecosocialist from #scotland . I'm principally on here because I write #blogs where I #review things I read, watch or play.

    Other than that, my key interests are #culture, #politics, #cats, #taichi, #SF, #books, #systems, #cybernetics, #taoism, #environment and #degrowth.

    Recommendations for follows are appreciated.

  23. Differential Logic • 18

    Tangent and Remainder Maps

    If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition in the following way.

    The next venn diagram shows the differential proposition we get by extracting the linear approximation to the difference map at each cell or point of the universe   What results is the logical analogue of what would ordinarily be called the differential of but since the adjective differential is being attached to just about everything in sight the alternative name tangent map is commonly used for whenever it’s necessary to single it out.


    To be clear about what’s being indicated here, it’s a visual way of summarizing the following data.

    To understand the extended interpretations, that is, the conjunctions of basic and differential features which are being indicated here, it may help to note the following equivalences.

    Capping the analysis of the proposition in terms of succeeding orders of linear propositions, the final venn diagram of the series shows the remainder map which happens to be linear in pairs of variables.


    Reading the arrows off the map produces the following data.

    In short, is a constant field, having the value at each cell.

    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  24. Differential Logic • 17

    Enlargement and Difference Maps

    Continuing with the example the following venn diagram shows the enlargement or shift map in the same style of field picture we drew for the tacit extension


    A very important conceptual transition has just occurred here, almost tacitly, as it were.  Generally speaking, having a set of mathematical objects of compatible types, in this case the two differential fields and both of the type is very useful, because it allows us to consider those fields as integral mathematical objects which can be operated on and combined in the ways we usually associate with algebras.

    In the present case one notices the tacit extension and the enlargement are in a sense dual to each other.  The tacit extension indicates all the arrows out of the region where is true and the enlargement indicates all the arrows into the region where is true.  The only arc they have in common is the no‑change loop at   If we add the two sets of arcs in mod 2 fashion then the loop of multiplicity 2 zeroes out, leaving the 6 arrows of shown in the following venn diagram.


    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  25. Differential Logic • 15

    Differential Fields

    The structure of a differential field may be described as follows.  With each point of there is associated an object of the following type:  a proposition about changes in that is, a proposition   In that frame of reference, if is the universe generated by the set of coordinate propositions then is the differential universe generated by the set of differential propositions   The differential propositions and may thus be interpreted as indicating and respectively.

    A differential operator of the first order type we are currently considering, takes a proposition and gives back a differential proposition   In the field view of the scene, we see the proposition as a scalar field and we see the differential proposition as a vector field, specifically, a field of propositions about contemplated changes in

    The field of changes produced by on is shown in the following venn diagram.


    The differential field specifies the changes which need to be made from each point of in order to reach one of the models of the proposition that is, in order to satisfy the proposition

    The field of changes produced by on is shown in the following venn diagram.


    The differential field specifies the changes which need to be made from each point of in order to feel a change in the felt value of the field

    Resources

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    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  26. Differential Logic • 14

    Field Picture

    Let us summarize the outlook on differential logic we’ve reached so far.  We’ve been considering a class of operators on universes of discourse, each of which takes us from considering one universe of discourse to considering a larger universe of discourse   An operator of that general type, namely, acts on each proposition of the source universe to produce a proposition of the target universe

    The operators we’ve examined so far are the enlargement or shift operator and the difference operator   The operators and act on propositions in that is, propositions of the form which amount to propositions about the subject matter of and they produce propositions of the form which amount to propositions about specified collections of changes conceivably occurring in

    At this point we find ourselves in need of visual representations, suitable arrays of concrete pictures to anchor our more earthy intuitions and help us keep our wits about us as we venture into ever more rarefied airs of abstraction.

    One good picture comes to us by way of the field concept.  Given a space a field of a specified type over is formed by associating with each point of an object of type   If that sounds like the same thing as a function from to the space of things of type — it is nothing but — and yet it does seem helpful to vary the mental images and take advantage of the figures of speech most naturally springing to mind under the emblem of the field idea.

    In the field picture a proposition becomes a scalar field, that is, a field of values in

    For example, consider the logical conjunction shown in the following venn diagram.


    Each of the operators takes us from considering propositions here viewed as scalar fields over to considering the corresponding differential fields over analogous to what in real analysis are usually called vector fields over

    Resources

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  27. This thing all things devours:
    Birds, beasts, trees, flowers;
    Gnaws iron, bites steel;
    Grinds hard stones to meal;
    Slays king, ruins town,
    And beats high mountain down.

    — Tolkien • The Hobbit

    Talking about time is a waste of time. Time is merely an abstraction from process and what is needed are better languages and better pictures for describing process in all its variety. In the sciences the big breakthrough in describing process came with the differential and integral calculus, that made it possible to shuttle between quantitative measures of state and quantitative measures of change. But every inquiry into a new phenomenon begins with the slimmest grasp of its qualitative features and labors long and hard to reach as far as a tentative logical description. What can avail us in the mean time, still tuning up before the first measure, to reason about change in qualitative terms?

    Et sic deinceps … (So it begins …)

    #Animata, #CSPeirce, #Change, #Cybernetics, #DifferentialLogic, #GraphTheory, #LawsOfForm, #Logic, #LogicalGraphs, #Mathematics, #Paradox, #Peirce, #Process, #ProcessThinking, #SpencerBrown, #SystemsTheory, #Time, #Tolkien

  28. Metasystem transition (Evolution 🧬)

    A metasystem transition is the emergence, through evolution, of a higher level of organization or control. A metasystem is formed by the integration of a number of initially independent components, such as molecules, cells, or individuals, and the emergence of a system steering or controlling their interactions. As ...

    en.wikipedia.org/wiki/Metasyst

    #MetasystemTransition #Evolution #Hypotheses #Cybernetics #SystemsTheory #Superorganisms

  29. [ ScyberPodcast: Unraveling Conceptual Dipoles to Extend our Understanding ]

    Explore how cognitive tensions shape meaning-making, creativity, and understanding in this mind-bending podcast episode on cutting-edge cognitive science!

    📣 👉 youtube.com/watch?v=hwqkKGBZyg

    #scybernethics #cognition #sciences_cognitives
    #enaction #enactiveCognition
    #ai #cybernetics #cognitivism
    #connectionism #philosophy #education
    #neuroscience #mind #consciousness

  30. [ How do we Create Meaning: from Cybernetics to Enaction ]

    Embark on a fascinating paradigmatic journey through the evolution of cognitive sciences & technologies in this captivating podcast episode (21 mn): cognitivism -> connectionism -> enaction

    📣 👉 youtube.com/watch?v=2OBtC6Zmw6

    #scybernethics #cognition #sciences_cognitives #enaction #enactiveCognition #ai #cybernetics #cognitivism #connectionism #philosophy #education #neuroscience #mind

  31. So - there is more #happines to spread:

    I am happy to inform you that #Komona invited my to have my talk "Burn, planet, burn?" at the #38C3 !

    TNX!- Especially bc I was taken a much needed #holiday when the official #cfp was happening

    Looking forward to meet & discuss with the #ccc lot!

    Lets discuss #power #technology #sustainability #cybernetics #counterinsurgency and #resistance

    Bc this #planet is to #wonderful to let it burn!

    PS: bring your #masks to spread only happiness & resistance

  32. Differential Propositional Calculus • 10

    Special Classes of Propositions (cont.)

    Let’s pause at this point and get a better sense of how our special classes of propositions are structured and how they relate to propositions in general.  We can do this by recruiting our visual imaginations and drawing up a sufficient budget of venn diagrams for each family of propositions.  The case for 3 variables is exemplary enough for a start.

    Linear Propositions

    The linear propositions, may be written as sums:

    One thing to keep in mind about these sums is that the values in are added “modulo 2”, that is, in such a way that

    In a universe of discourse based on three boolean variables, the linear propositions take the shapes shown in Figure 8.


    At the top is the venn diagram for the linear proposition of rank 3, which may be expressed by any one of the following three forms.

    Next are the venn diagrams for the three linear propositions of rank 2, which may be expressed by the following three forms, respectively.

    Next are the three linear propositions of rank 1, which are none other than the three basic propositions,

    At the bottom is the linear proposition of rank 0, the everywhere false proposition or the constant function, which may be expressed by the form or by a simple

    Resources

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  33. @Harishjosev

    ❝And if he is told that something is the way it is, then he thinks: Well, it could probably just as easily be some other way. So the sense of possibility might be defined outright as the capacity to think how everything could “just as easily” be, and to attach no more importance to what is than to what is not.❞

    — Robert Musil • The Man Without Qualities
    oeis.org/wiki/Differential_Log

    #Ashby #Musil #Cybernetics #Constraints
    #DifferentialLogic #QualitativeDynamics