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Irreducible and complexity
For information on irreducible complexity as used in Systems Theory, see Irreducible complexity ( Emergence ).
Irreducible complexity is one of two main arguments used by intelligent design proponents, the other being specified complexity.
Irreducible complexity is not an argument that evolution does not occur, but rather an argument that it is " incomplete ".
Irreducible complexity is at its core an argument against evolution.
* Irreducible complexity
* Irreducible complexity
# redirect Irreducible complexity
# REDIRECT Irreducible complexity
In 1996, the Discovery Institute's Center for Science and Culture ( CSC ), formerly known as the Center for Renewal of Science and Culture, was founded to promote Intelligent design, and entered public discourse with the publication of Darwin's Black Box by Michael Behe, arguing for evidence of Irreducible complexity.

Irreducible and is
Irreducible representations over the reals in the case when V is a real vector space are much more intricate, and the reader is referred to the Clifford algebra article for more details.
Irreducible abdominal hernias or incarcerated hernias may be painful, but their most relevant symptom is that they cannot return to the abdominal cavity when pushed in.
: Irreducible orientable closed ( i. e., compact and without boundary ) 3-manifolds have a unique ( up to isotopy ) minimal collection of disjointly embedded incompressible tori such that each component of the 3-manifold obtained by cutting along the tori is either atoroidal or Seifert-fibered.
; Irreducible: An element x of an integral domain is irreducible if it is not a unit and for any elements a and b such that x = ab, either a or b is a unit.
* An Irreducible fraction ( or fraction in lowest terms ) is a vulgar fraction in which the numerator and denominator are smaller than those in any other equivalent fraction.

Irreducible and by
*" The Flagellum Unspun: The Collapse of " Irreducible Complexity " by Professor Miller
139 page in-depth analysis of Intelligent Design, Irreducible Complexity, and the book " Of Pandas and People " by a judge and based on expert testimony
Irreducible Needs of Children: What Every Child Must Have to Grow, Learn, and Flourish ; Copyright 2000 by T. Berry Brazelton, M. D.

Irreducible and certain
# Irreducible minimum social overhead capital – industry mix: Investment needs to be of a certain minimum magnitude and spread across a mix of industries, without which it will not significantly impact the process of growth.

Irreducible and have
Irreducible fractions with the same denominator have circles of the same size.
The Irreducible Needs of Children: What Every Child Must have to Grow, Learn, and Flourish.

Irreducible and from
The Argument from Irreducible Biochemical Complexity

Irreducible and .
* Irreducible ideal.
Irreducible elements should not be confused with prime elements.
* Information on Primitive and Irreducible Polynomials, The ( Combinatorial ) Object Server.
* Irreducible dual.
Irreducible components serve to define the dimension of schemes.

complexity and IC
Additionally, as the ability to construct exceedingly small transistors on an IC has increased, the complexity and number of transistors in a single CPU has increased many fold.
This widely observed trend is described by Moore's law, which has proven to be a fairly accurate predictor of the growth of CPU ( and other IC ) complexity.
Biochemist Michael Behe, another member of " The Wedge ", contributed the argument that he subsequently called " irreducible complexity " ( IC ) to a subsequent edition of Pandas in 1993.

complexity and is
Moral dread is seen as the other face of desire, and here psychoanalysis delivers to the writer a magnificent irony and a moral problem of great complexity.
With the growing complexity of markets and intensity of competition, sales management, whether at the district, region or headquarters level, is a tough job today -- and it will be tougher in the future.
In the `` typical tone language '', tonal morphophonemics is of the same order of complexity as consonantal morphophonemics.
The difficulty of analysis of any subsystem in the phonology is an inverse function of the size -- smaller systems are more troublesome -- for any given degree of morphophonemic complexity.
Improved bandwidth efficiency is achieved at the expense of increased transmitter and receiver complexity by completely suppressing both the carrier and one of the sidebands.
In algorithmic information theory ( a subfield of computer science ), the Kolmogorov complexity of an object, such as a piece of text, is a measure of the computational resources needed to specify the object.
Kolmogorov complexity is also known as " descriptive complexity " ( not to be confused with descriptive complexity theory ), Kolmogorov – Chaitin complexity, algorithmic entropy, or program-size complexity.
Thus, the Kolmogorov complexity of the raw file encoding this bitmap is much less than 1. 62 million.
More formally, the complexity of a string is the length of the shortest possible description of the string in some fixed universal description language ( the sensitivity of complexity relative to the choice of description language is discussed below ).
Strings whose Kolmogorov complexity is small relative to the string's size are not considered to be complex.
If a description of s, d ( s ), is of minimal length ( i. e. it uses the fewest number of characters ), it is called a minimal description of s. Thus, the length of d ( s ) ( i. e. the number of characters in the description ) is the Kolmogorov complexity of s, written K ( s ).
Theorem: If K < sub > 1 </ sub > and K < sub > 2 </ sub > are the complexity functions relative to description languages L < sub > 1 </ sub > and L < sub > 2 </ sub >, then there is a constant c – which depends only on the languages L < sub > 1 </ sub > and L < sub > 2 </ sub > chosen – such that
Algorithmic information theory is the area of computer science that studies Kolmogorov complexity and other complexity measures on strings ( or other data structures ).
Some consider that naming the concept " Kolmogorov complexity " is an example of the Matthew effect.
The program tries every string, starting with the shortest, until it finds a string with complexity at least n ( if there is one ), then returns that string ( or goes into an infinite loop if there is no such string ).

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