CLOSED LOOP INTERVAL ONTOLOGY
       The Digital Integration of Conceptual Form
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The Many Forms of Many/One
Universal conceptual form

Invocation
Aligning the vision

Project under development
Evolving and coalescing

Guiding motivation
Why we do this

A comprehensive vision
Ethics / governance / science

Cybernetic democracy
Homeostatic governance

Collective discernment
Idealized democracy

Objectives and strategy
Reconciliation and integration

Reconciliation of perspectives
Holistic view on alternatives

What is a concept?
Definitions and alternatives

Theories of concepts
Compare alternatives

What is truth?
How do we know?

Semantics
How meaning is created

Synthetic dimensionality
Foundational recursive definition

Universal hierarchy
Spectrum of levels

A universal foundation
The closed loop ensemble contains
all primary definitions

Set
Dimensions of set theory

Numbers
What is a number?

Venn diagrams
Topology of sets

Objects in Boolean algebra
How are they constructed?

Core vocabulary
Primary terms

Core terms on the strip
Closed Loop framework

Graphics
Hierarchical models

Digital geometry
Euclid in digital space

The dimensional construction
of abstract objects
Foundational method

The digital integration
of conceptual form
Compositional semantics

Closed loop interval ontology
How it works

Cognitive science
The integrated science of mind

Equality
What does it mean?

Formal systematic definitions
Core terms

Data structures
Constructive elements
and building blocks

Compactification
Preserving data under transformation

Steady-state cosmology
In the beginning

Semantic ontology
Domain and universal

Foundational ontology
A design proposal

Coordinate systems
Mapping the grid

Articles
From other sources

Arithmetic
Foundational computation

Plato's republic and
homeostatic democracy
Perfecting political balance

Branching computational architecture
Simultaneity or sequence

Abstract math and HTML
Concrete symbolic representation

All knowledge as conceptual
Science, philosophy and math
are defined in concepts

Does the Closed Loop
have an origin?
Emerging from a point


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What is integral ontology?
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Definition / description

We are using this term to describe an approach to ontology that endeavors to bring all facets of the subject together in one place, guided by a common set of principles and methods.

The basic design proposes that ideas or concepts can be organized along a hierarchy of abstraction, with broader more general concepts at the top of the cascade, and more specific or concrete concepts at the bottom.

Integral ontology is intended to include

  • Semantics
  • Epistemology
  • Foundations of mathematics
  • Cognitive psychology and the theory of concepts

We are developing an approach to compositional semantics that affirms that all concepts can be understood as "data structures" and can be constructed from atomic-level units like bits or distinctions. Concepts, understood in this way, are cascades of nested distinctions that can be precisely defined in dimensional values.

This cascade may be defined across levels of abstraction, such that its top level is defined in general/abstract terms, and its lowest level is defined in specific terms.

The "meaning of a word" -- and the intention behind it -- is defined by this cascaded nesting across levels of abstraction. The speaker uses an abstract or general term for brevity and convenience (a function of psychological economy), while the nested implications remain unspecified.

The specifics of this nesting may or may not be explicitly defined. If it is implicit and undefined, the interpretation of the term or word or concept can become ambiguous. Or the meaning may become explicit and stipulated in particular, perhaps through a process of negotiation and refinement.

Hide Placeholder Note Sketch Draft Polished

Wed, Jul 24, 2019