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specified complexity

Functionally Specified Complex Information and Organization

Dragonfly Ornithopters

As fans of Dune will readily see, an ornithopter is a flapping wing flying machine, as a helicopter is a rotary wing flying machine. Where of course we have seen how Dragonflies are elliptical winged insects capable of up to 56 km/h speed. They also have pterostigmas that control flutter, gaining up to 25% speed [in gliding mode]. Then, there are airflow and wing flex sensors that indicate sophisticated, highly tuned control loop networks. These insects are capable of forward and reverse flight, hovering and sideways flight. They also have up to 97% success rate in predation. Such a natural model will of course inspire engineers. So, we can see here, a Dragonfly robot ornithopter: A clip: Resemblance to a Read More ›

L&FP, 71: The island of function, fitness peak trap

We have been using a 3-D printer-constructor formalism, and now we can use it to see how hill climbing leads to local trapping. Again, the core formalism: Now, let us modify by allowing some sort of local random mutation to d(E) case by case within an n-run, now seen as a generation, so E1 to En are all incrementally different, and in effect are a ring around E in a fitness landscape. From this, we can see a survival filter that on average selects for superior performance. This leads, naturally to hill-climbing, perhaps even to several related peaks in a chain on an island of function. But now, we see: Here, we see that hill climbing leads to peak trapping, Read More ›

L&FP, 69: A way to understand Functionally Specific Complex Organisation and/or associated Information [FSCO/I] i/l/o Kolmogorov-Chaitin Complexity

It seems that it is exceedingly hard for some to understand what FSCO/I is about. In responding to an objector, I wrote as follows just now, and think it is worth headlining for reference: Where, K-Complexity is summarised by Wikipedia, as a first level point of reference that would have been immediately accessible all along: <<In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer program (in a predetermined programming language) that produces the object as output. It is a measure of the computational resources needed to specify the object, and is also known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin complexity, program-size Read More ›

L&FP, 66: String — yes, s-t-r-i-n-g — data structures as key information storage arrays (thus the significance of DNA and mRNA)

One of the more peculiar objections to the design inference is the strident, often repeated claim that the genetic code is not a code, and that DNA and mRNA are not storing algorithmic, coded information used in protein synthesis. These are tied to the string (yes, s-t-r-i-n-g) data structure, a key foundational array for information storage, transfer and application. So, it seems useful to address the string as a key first principles issue, with the onward point being that strings of course can and do store coded information. Let us begin with, what a string — yes, s-t-r-i-n-g — is (though that should already be obvious from even the headline): Geeks for Geeks: A string is a sequence of characters, Read More ›

Museum in Japan: Rocks with human-like faces

Of course, it’s like faces in the clouds but more durable. That is, among a hundred thousand rocks, one is bound to look like something and stay that way for a while. Is this complexity without the “specified” part — as in specified complexity? Read More ›

A conversation on a [post?]-Christian civilisation and the impact of the design inference on evidence

Peter Robinson’s Uncommon Knowledge brings three authors together, Tom Holland, Stephen Meyer and Douglas Murray: A key consideration: vs, this notorious poetic assertion: Of course, both of these reflect the rise of the skeptical mindset among the educated elites, the modern inferior good that stands in for the cardinal virtue, prudence. So, we cannot escape the epistemic challenge, what it means to know and to what confidence, especially as regards roots of reality and our place in reality. (Where, trivially, for any reasonably definable field, X, the claim that one knows on some warrant that there is no objective, knowable truth regarding X, is instantly self-referentially incoherent and self defeating. As this hyperskeptical claim is about X and claims objective Read More ›

At SciTech Daily: The Fountain of Life: Scientists Uncover the “Chemistry Behind the Origin of Life”

The requirement of a particular sequence of amino acids endows the protein with vast amounts of information, far beyond what could be "chanced upon" by any natural process within the history of the entire universe. Read More ›

Your Designed Body: Engineering Hurdles

The body's design: "There remains no plausible, causally adequate hypotheses for how any series of accidents, no matter how lucky and no matter how much time is given, could accomplish such things." Read More ›

At Quora: Is it possible to prove beyond a reasonable doubt that intelligence was required to create life?

John von Neumann mathematically showed that the information content of the simplest self-replicating machine is about 1500 bits of information. This is a vast amount of information, far exceeding the information content of the physical (non-living) universe. Read More ›

From Evolution News: Prigogine’s Self-Organization vs. Specified Biological Complexity

Self-organization, exemplified in "dissipative structures" (Prigogine), which can arise in systems maintained far from thermodynamic equilibrium, result in a decrease in information and do not constitute a natural explanation of information-rich biological systems. Read More ›

At Phys.org: Chemists create an ‘artificial photosynthesis’ system ten times more efficient than existing systems

"In nature, photosynthesis is performed by several very complex assemblies of proteins and pigments." Researchers have not been able to approach the efficiency of the natural process with artificial photosynthesis. Read More ›

At Phys.org: New study finds our ancient relatives were not so simple after all

Lacking a naturalistic mechanism for the generation of the new information of novel features, the idea of the "loss of features" is put forward as a driving factor for supposed evolutionary advance. Read More ›