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Generative Encoding

Service Interface. Service Interface. Service Interface. Generative Encoding. Generative Encoding. Generative Encoding. Evolving encodingCore. Challenge: * Minimize the footprint on bit structure (size and accessibility) used to pass data between individuals within community structures.

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Generative Encoding

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  1. Service Interface Service Interface Service Interface Generative Encoding Generative Encoding Generative Encoding Evolving encodingCore Challenge: * Minimize the footprint on bit structure (size and accessibility) used to pass data between individuals within community structures. * first addressed (to my knowledge) by Sandy Klausner with the Core Talk architecture.

  2. Challenge: * Minimize the footprint on bit structure (size and accessibility) used to pass data between individuals within community structures. • Two categories of issues arise: • First category is based on motivation, who are software systems; “for” programmer communities or human being in general • Second category is based on the transient nature of optimization of footprint. The first category is made more difficult to deal with in spite of agreement that there is a problem with professional interests rising over general (broad based) interests of all human beings – to live in a world with higher average standards of living and more broad based sharing of responsibility and rewards.

  3. Challenge: * Minimize the footprint on bit structure (size and accessibility) used to pass data between individuals within community structures. Core principled insight… of the second school There is a transient nature to the optimization of computational structure. The first school does not acknowledge this principle, in spite of good evidence, thus compounding the problem of “professional interests” since not recognizing the transient nature of information structure means that problems contracted to address can be contracted over and over due to the confusion in the minds of contractors and the public.

  4. Service Interface Service Interface Service Interface Generative Encoding Generative Encoding Generative Encoding Challenge: * Minimize the footprint on bit structure (size and accessibility) used to pass data between individuals within community structures. Evolving encodingCore The second school principle of transience of optimal information structure means that optimal footprints are optimal only during some type of demarcation depending on context. Context is structured by reality even if the reality is encoded as abstract structure in video/audio digital objects. principle of transience of optimal information structure

  5. Principle of transient of optimal information structure • Notes • PCH (Process Compartment Hypothesis) was developed to summarize the work I was seeing (1994-95) from the Soviet Applied Semiotics and esoteric physics community on the nature of transient phase coherence in persistent objects. The ground work is in physics and biology, but has immediate application to computational systems. • The PCH is the grounding “science” for the computational architecture called the tri-level architecture • The key to understanding both PCH and tri-level is to assert, as we do in the second school, that substrate “materials” aggregates together to form the material for a compartment, but that the compartment itself is shaped by the affordance structure in the moment that the compartment forms. Implication is that each context has structure that is manifest as patterns in any product from that context, including recording of video/audio. • If one thinks about this just a bit, it is realized that a given a class of digital objects (ie produced using specific types of technologies) the class is in fact a “Process Compartment). Once the compartment forms, there is a unique nature to the digital object to be encoded… if we are talking only about the generative Encapsulated Digital Object (gEDO).

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