Demand Side Learning

Full Generativity

"Generativity is a function of a technology’s capacity for leverage
across a range of tasks, adaptability to a range of different tasks, ease
of mastery, and accessibility. "

from Zittrain: *

Simple explanation: Grid generativity is a property of software systems in which new elements are easily generated. Generativity is a property of all natural systems, and is involved in the human creation of thought.

History: The concept of generativity arises from scholarship on cyber law and law associated with patents and copyright. The concept of generativity may be related to the concept of how law comes into existence, how thought is generated and how natural language comes to be available in the context of the moment.

Nature of first principles: The first principles are an enumeration of the a set of core concepts that together describe the foundation for demand side theory as applied to a safe, secure and optimal communications grid. Grid generativity is the principle most illustrative of openness to change arising from the collective and distributed actions of individuals, existing outside the grid. In order that a technology be "demand side" *<*>, the technology must function from an instrumented measurement of locally driven interactions, and must generate a global (non-local) representation of all of these locally driven interactions (as in a voting procedure *<*>). The global representation emerges from the sum of all local interactions, and these interactions arise from an endo-physics, from the internal "self". Demand arises from the individual and may enduce a global pressure.

(under edit)

Functions provided by grid generativity:

Grid generativity presents a full range of implications, including the role of ownership in software markets, the stability of status quo, and the enhancement of human creativity. These implications are best understood through a comparison to the phenomenon of emergence in natural systems (see next section).

Enables a marketplace: Grid generativity enables a marketplace based on the generative Encapsulated Digital Object (g-EDO). The g-EDO was developed based on the concept that a backplate, or substrate, would distribute object encryption information throughout a grid. The stratification of processes into a substrate, in this case a backplate; an event space, and anticipatory mechanisms creates an ability to send a packet of data that when used by the backplate "generates" the digital object. The packet could be the self similarity matrix that when used generates a digital image. Fractal generation is one form of g-EDOs, but in the one full example of a Clean Slate Internet, not public but based on sub-stratum language expression; we have evidence that all data in the new Clean Slate Internet would be "moved" by sending the instructions that generates the digital objects at the receiving node of a closed grid. The marketplace is enabled by (1) provable security, (2) low bandwidth, (3) a digital right protection mechanism. (see #9 *<*>)

Functions provided by natural generativity:

Generativity as defined by Zittrain has focused on a property of software systems when used by humans. There is, of course, the processes in nature that generates systems. When we consider the software system as an artifact created by human minds, we are able to compare a software system with mathematics, or in fact with the abstrations used to define an ontological model. The considerations about the nature of abstration, models created by the minds of humans, and natural systems lead us to one of the philosophical principles differentiating the first and second schools. Natural generativity is thus a difficult topic to approach when one starts with first school computing science.

In nature, form is observed. The conservation laws are in fact well worked out, and always apply to the transformations of energy and mass. However, the nature of information seems to be an additional constraint imposed on the nature of systems, particularly living systems. Generativity, in this case, involves the gene and the expression of the gene as phenotype. We understand that this expression and even the full nature of the gene is only recently become clear, and that there are still open questions.