Worlds are modeling viewpoints. They define specifications of behavior, and they define contexts in which those behaviors may be modeled. The contexts have standardized aspects and capabilities. Once a "mature" knowledge base has been compiled, Routine models should be able to be run like calculator functions. Initial targets for this type of capability would be targeted at things like Six Sigma models and tools, System Zoo models, etc.
Worlds exist as a matrix using a tree backbone.
The root trunk of the tree is Real World. Real World has a hierarchical, fish bone taxonomy in metadata. That fish bone defines all of the "aspects" of Real World that have been identified (and potentially accounted for). This becomes a conceptual class hierarchy that forces all other worlds to be based on the real world as known to EATS. Then, in O-O fashion, the other worlds are derived from Real World. This provides the analytical chain for derivation and audit.
Real World is accomplished using a pragmatic approach. It is "grown" as features and capabilities are required. It can be managed using a VOC and MGP1.
Vision World is a "shadow" branch of Real World. Vision World is modeled projection of Real World, as conceived based on the parameter set of the Real World "sub world" that is being projected.
- Real World exists as a state specification in the knowledgebase and the related database.
- The knowledgebase also includes modeling parameters to describe system dynamics for various classes of elements.
- The dynamics parameters can be modeled to create projections of various forms using the known data.
- The parameters can be subclassed and personalized to provide projections from different viewpoints, or to further personalize a viewpoint. This subclassing is accomplished in Real World, and then adopted into Vision World with the same personalizations, so there is an audit trail for analysis.
- Multiple Vision World projections can be made from the same Real World base by combining different viewpoints with different parameters.
Hypothetically, Real World is defined as a neutral, scientific, factual base line which is updated as time passes and events occur. Thus Vision World projects are dynamic as a function of a changing understanding of real world situations. Real World could be fed by Watson chewing and parsing a news feed, and statistics as they are announced.
- 1. This makes an interesting test case for use of a VSM control model over a Six Sigma planning process. The type of generic "capability" developed in that process, then becomes a de facto, tested, feature that can be implemented in other Six Sigma processes that use EATS as a development support tool. Implement once, use as a generic tool multiple times.