Algorithmic Specified Complexity

@inproceedings{Ewert2013AlgorithmicSC,
  title={Algorithmic Specified Complexity},
  author={W. Ewert},
  year={2013}
}
  • W. Ewert
  • Published 24 September 2013
  • Computer Science
Engineers like to think that they produce something different from that of a chaotic system. The Eiffel tower is fundamentally different from the same components lying in a heap on the ground. Mt. Rushmore is fundamentally different from a random mountainside. But engineers lack a good method for quantifying this idea. This has led some to reject the idea that engineered or designed systems can be detected. Various methods have been proposed, each of which has various faults. Some have trouble… 

Figures from this paper

Measuring meaningful information in images: algorithmic specified complexity

The application of ‘algorithmic specified complexity’ (ASC) to the problem of distinguishing random images, simple images and content-filled images is explored and is a model for measuring meaning using conditional KCS complexity.

Algorithmic Specified Complexity in the Game of Life

Algorithmic specified complexity is applied to Conway's Game of Life to differentiate patterns designed by programmers from those originating by chance and a variety of machines created by Game of life hobbyists exhibit high ASC thereby corroborating ASC's efficacy.

On the improbability of algorithmic specified complexity

Algorithmic specified complexity (ASC) measures the degree to which an event is improbable and follows a pattern and shows a bound on the probability of obtaining a particular value of algorithmic specifying complexity.

References

SHOWING 1-10 OF 16 REFERENCES

Logical depth and physical complexity

Some mathematical and natural objects (a random sequence, a sequence of zeros, a perfect crystal, a gas) are intuitively trivial, while others (e.g. the human body, the digits of π) contain internal

A PRELIMINARY REPORT ON A GENERAL THEORY OF INDUCTIVE INFERENCE

Some preliminary work is presented on a very general new theory of inductive inference. The extrapolation of an ordered sequence of symbols is implemented by computing the a priori probabilities of

Three subsets of sequence complexity and their relevance to biopolymeric information

The algorithmic programming of FSC, not merely its aperiodicity, accounts for biological organization, which invariably manifests FSC rather than successive random events (RSC) or low-informational self-ordering phenomena (OSC).

No Free Lunch: Why Specified Complexity Cannot Be Purchased without Intelligence

Intelligent Design is a viewpoint in which natural processes are replaced by some kind of creation or design, in which the entire world is understood in terms of natural processes.

On the Length of Programs for Computing Finite Binary Sequences

An application to the problem of defining a patternless sequence is proposed in terms of the concepts here developed to study the use of Turing machines for calculating finite binary sequences.

Specification: The Pattern that Signifies Intelligence

This paper analyzes the concept of specification and shows how it applies to design detection (i.e., the detection of intelligence on the basis of circumstantial evidence) and reviews, clarifies, and extends previous work on specification.

Measuring the functional sequence complexity of proteins

For future extensions, measures of functional bioinformatics may provide a means to evaluate potential evolving pathways from effects such as mutations, as well as analyzing the internal structural and functional relationships within the 3-D structure of proteins.

Estimating the prevalence of protein sequences adopting functional enzyme folds.

  • D. Axe
  • Biology
    Journal of molecular biology
  • 2004

Elements of Information Theory

The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.

Conversations with a mathematician - math, art, science and the limits of reason

A century of controversy over the foundations of mathematics (Lecture); Math, science & fantasy (Interview).