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Effectiveness: Information Optimization

(Meaning)

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''Effectiveness is herein defined as producing a decided, decisive, and/or desired result in terms of tangible benefits produced by the effort expended — in such a way as to avoid loss or waste of energy in effecting, producing, or functioning.''

Information Optimization
The goal of information optimization is to increase the levels of “meaning” by driving from lower states to higher states of meaning structures.

Information is herein defined as an attribute inherent in and communicated as determining and representing the “meaning” of objects and their associated inferences; and the analytical processes used to identify, define, and represent the multiple meanings that objects may have.  This definition includes the “syntax” —the ways in which abstract syntax primitives are put together to form objects; and the analytical processes of transformational grammar, generalized phrase structure grammar, and categorical grammar.  Additionally, this definition includes “pragmatics” as the determination of the intended meaning of instances in the context in which they are used; the analytical processes of identifying, defining, and representing those context.

This work uses a taxonomy that represents the directed evolving state (complexity) of meaning structures:

Data —
The simplest objects are called data.  Data are represented using abstract syntax structures.  Data are simply sets of abstract syntax structures (primitives) such as facts, names, and labels, etc. computerized data are called data objects; i.e. data element, data record, data file, data set, data base, data group.

Information —
Information is meaning structures that hold simple relations between data, such as assertions of fact.  Data objects that have been grouped by relationship assertions are called information objects.  The grouping function or object “binding” is called interpretation and is the result of the semantics process.

Knowledge —
Knowledge is meaning structures that hold assignment of information to classes (complex relations between data), such as generalized assertions, which results in new facts being created.  Classes of information objects that have been grouped by relationship assertions — are called knowledge.  The assignment of information objects to classes (complex relations between data objects) yields generalized assertions.  The grouping function or object “binding” is called context and is the result of the pragmatics process.

Reason —
Reason is meaning structures that hold a triggered action bound to the assignment of classes of knowledge (complex behaviors acting on information); and the relationship between knowledge and behavior.  Reason-based processes and systems manage reason objects.  They recognize and act on all reason objects as a class of objects that are capable of exhibiting behaviors.  Reason-based scenarios define problem statements and goal states (desired outcomes) that do not require that solution logic be embedded within the scenarios.  Methods and applications are executable by referencing the reason object.

Wisdom —
Wisdom is meaning structures that hold: triggered reflective action (“learning”) bound to classes of reason objects (complex behaviors examining and acting on reason objects); triggered actions that modify their behaviors and states according to the difference between expected and obtained outcomes (“single-loop” learning); and triggered actions that modify their behaviors and states according to “learning” from and about single-loop learning processes and results (“double-loop” learning).