Closed Loop Interval Ontology
 CLOSED LOOP INTERVAL ONTOLOGY        The Digital Integration of Conceptual Form
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Universal conceptual form

Aligning the vision

Evolving and coalescing

Why we do this

Ethics / governance / science

Homeostatic governance

Idealized democracy

Reconciliation and integration

Holistic view on alternatives

Definitions and alternatives

Compare alternatives

How do we know?

How meaning is created

Foundational recursive definition

Spectrum of levels

The closed loop ensemble contains
all primary definitions

Dimensions of set theory

What is a number?

Topology of sets

How are they constructed?

Primary terms

Closed Loop framework

Hierarchical models

Euclid in digital space

Foundational method

Compositional semantics

How it works

The integrated science of mind

What does it mean?

Core terms

Constructive elements
and building blocks

Preserving data under transformation

In the beginning

Domain and universal

A design proposal

Mapping the grid

From other sources

Foundational computation

Perfecting political balance

Simultaneity or sequence

Concrete symbolic representation

Science, philosophy and math
are defined in concepts

Emerging from a point

Objects in Boolean algebra
How are they constructed?

 In mathematics and mathematical logic, Boolean algebra is the branch of algebra in which the values of the variables are the truth values true and false, usually denoted 1 and 0, respectively. Instead of elementary algebra, where the values of the variables are numbers and the prime operations are addition and multiplication, the main operations of Boolean algebra are the conjunction (and) denoted as ?, the disjunction (or) denoted as ?, and the negation (not) denoted as ¬. It is thus a formalism for describing logical operations, in the same way that elementary algebra describes numerical operations. Boolean algebra was introduced by George Boole in his first book The Mathematical Analysis of Logic (1847), and set forth more fully in his An Investigation of the Laws of Thought (1854). According to Huntington, the term "Boolean algebra" was first suggested by Sheffer in 1913, although Charles Sanders Peirce gave the title "A Boolean Algebra with One Constant" to the first chapter of his "The Simplest Mathematics" in 1880. Boolean algebra has been fundamental in the development of digital electronics, and is provided for in all modern programming languages. It is also used in set theory and statistics. https://en.wikipedia.org/wiki/Boolean_algebra_(structure)

 Boolean values In Boolean Algebra, the values of the variables are true and false (usually denoted 1 and 0). So, the structure of something that is true or false is some kind of proposition -- or in a programming context, a condition that is true -- is is the case at the moment -- IF x=20, then y -- or something like that Thu, Mar 25, 2021 Reference In mathematics and mathematical logic, Boolean algebra is the branch of algebra in which the values of the variables are the truth values true and false, usually denoted 1 and 0, respectively.[1] Instead of elementary algebra, where the values of the variables are numbers and the prime operations are addition and multiplication, the main operations of Boolean algebra are the conjunction (and) denoted as ?, the disjunction (or) denoted as ?, and the negation (not) denoted as ¬. It is thus a formalism for describing logical operations, in the same way that elementary algebra describes numerical operations. Boolean algebra was introduced by George Boole in his first book The Mathematical Analysis of Logic (1847), and set forth more fully in his An Investigation of the Laws of Thought (1854).[2] According to Huntington, the term "Boolean algebra" was first suggested by Sheffer in 1913,[3] although Charles Sanders Peirce gave the title "A Boolean Algebra with One Constant" to the first chapter of his "The Simplest Mathematics" in 1880.[4] Boolean algebra has been fundamental in the development of digital electronics, and is provided for in all modern programming languages. It is also used in set theory and statistics.[5]