Variables:
- Population
- Geographic space/territory
- Virtual space/domain
- Time space
- Flow / control
- Energy / plant
- Knowledge
- Satisfaction/Conformance
- Instantiation or Exemplification
- Belief
- Measurement/observation
- Level of detail/abstraction/reduction (LOD) and precision/hide-level.
Ordered Axioms:
- Population have a homogeneous distribution on the Habitable Geographic space.
- Globally Recognized Resources (GR2).
- Population have a homogeneous distribution on a Virtual space (VS) generated around a GR2.
- Population have a Geographical normal distribution around a GR2.
- A Population define a set of Global Reasoning Peers (GRP).
- Happiness have a homogeneous distribution over the Population.
Stability rules:
- Starts as a crowd-funded world-wide project, on penetration phase, and continues with its own currency.
- Currency is re-defined as a measurement of Globally Recognized Humanism (GRH).
- Influence power of a given Knowledge Resource (KR) in a given group is taking into account in the GRH calculation, and hence currency.
- A consensus of a given concept recognition is voted by all interested peers, in order to reach Global Consensus (GC) around an open VS generated to achieve GC over a given concept / concern / (physical \ metaphysical) property.
- Levels of ignorance/knowledge and GC are constantly measured by an Automated Questioning Game System (AQGS) based on free speech (see http://avazapp.com/freespeech/).
- In case of inability to achieve GC, Interested Groups (GC) from a particular VS may synthesize and publicize a given (incomplete) Local Consensus (LC) or policies.
- In the case of limited computation resources, or lag from the voters due on a particular time-frame (also defined by consensus), some LC are elected in order to have execution priority in rule/law application (there is no human election).
- Every automatically-synthesized policy is scheduled for execution upon automated approval of all the peers.
- Knowledge is acquired in the balance of Happiness, which is measured on perceived frustration on each reasoning peer, as a balance between innovation (learning new things) and routine (the every-day ritual of teaching).
- Belief is computed as the ratio of the size of the biggest GCs, versus the number of LCs and their size. Which means that there may be an intersection in apparently sparse knowledge graphs, hence the uncertainty factor.