This is the conclusion of The Knowing Universe
This book proposed an inferential systems definition of existence. In this interpretation, the world-in-itself is portrayed as a vast hierarchically nested series of inferential systems, each diligently investigating the possibilities for specific forms of existence. One benefit of this interpretation is its casting of the universe in an easily knowable form; a little knowledge of inferential systems provides a little knowledge of everything.
Our interpretation of scientific knowledge within an inferential systems framework reveals science itself in a new light; science is an inferential system that accumulates knowledge in essentially the same manner as all other naturally occurring inferential systems. This view of science may inform some problems that have long plagued western philosophy.
One of those problems is the general relationship between existing
entities and our perceptions or mental concepts portraying them. During the
scientific revolution, roughly between 1543 and 1687
Fifty years after the scientific revolution, David Hume cast some shade on empirical claims of certain knowledge, noting that many natural processes, such as causation, are not entirely amenable to sensory evidence. However, he retained the critical caveat that instead of certainty, sensory evidence can provide probabilistic knowledge. Using this, essentially Bayesian insight, Hume argued that hypotheses judged as unlikely in our prior experience require a greater weight of evidence, or as more recently framed, extraordinary claims require extraordinary evidence
Forty years later
Immanuel Kant, built upon Hume’s empirical skepticism claiming an essential
dichotomy between sensory-based knowledge and the true nature of things in themselves
And we indeed, rightly considering objects of sense as mere appearances, confess thereby that they are based upon a thing in itself, though we know not this thing as it is in itself, but only know its appearances, viz., the way in which our senses are affected by this unknown something.
Kant describes an apparent gulf between things in themselves
and any possible empirical knowledge we can have of them. A recent statement of
this dichotomy uses the example of the gulf between maps and the territory they
model (and admonishes us not to confuse the two). In Kant’s time, many perceived
this as a trivial intellectual gulf posing no reason for despair as it did not
yet challenge the near-universal religious models. Although lacking empirical foundations,
the Christian model of the universe was considered an accurate portrayal of the
world-in-itself. Indeed, Kant’s contemporaries understood his radical philosophy
as resonating quite well with Christian doctrine. One of his early commentators
And does not this system itself cohere most splendidly with the Christian religion? Do not the divinity and beneficence of the latter become all the more evident?
But scientific and philosophical developments were building bridges between perceptual models and the world-in-itself, bridges that would come to challenge those offered by religious teaching and to undermine our cozy place within Christian models of the universe. Astronomers such as William Herschel (1738 – 1822) found evidence of a vast universe, suggesting that both earth and humanity played apparently insignificant roles – a scenario challenging Christian doctrine. And then Darwin demonstrated that counter to religious teaching, people have descended from earlier forms of life. These and countless other scientific findings undermined the Christian worldview among the intelligentsia.
Not only did this new learning contradict many religious teachings, it also illustrated the constraints that religion placed upon knowledge. Most Protestant sects identified the Bible as revealed truth and considered it a complete worldview for humanity. But the scope of biblical knowledge is relatively minimal. How far could knowledge grow within this confine? For example, the bible makes only passing references to stars. One of the more explicit passages is:
And God made the two great lights—the greater light to rule the day and the lesser light to rule the night—and the stars.
It does not offer any detailed knowledge concerning stars-in-themselves; they are only bit players in this God-centric tale. And it provides no path to greater knowledge of stars. For that, we must look elsewhere.
Under these influences, acceptance of biblical teachings as literal descriptions of the world-in-itself became increasingly untenable. Finally, in 1882 Fredrick Nietzsche (1844 – 1900) announced God’s murder and held humanity to be responsible:
God is dead. God remains dead. And we have killed him. How shall we comfort ourselves, the murderers of all murderers? What was holiest and mightiest of all that the world has yet owned has bled to death under our knives: who will wipe this blood off us? What water is there for us to clean ourselves? What festivals of atonement, what sacred games shall we have to invent? Is not the greatness of this deed too great for us? Must we ourselves not become gods simply to appear worthy of it?
After fifteen hundred years, Europe's foundational model of the universe crumbled, leaving no handy alternative. As Martin Heidegger (1889 – 1976), a leading 20th-century metaphysician, explained, humanity was left exposed to its most significant source of anxiety, the anxiety experienced when we face the finite nature of our existence.
And worse was to come. Ludwig Wittgenstein (1889 – 1951),
perhaps the twentieth century’s most influential philosopher
It is not how things are in the world that is mystical, but that it exists.
Wittgenstein had experienced the terrors of WWI’s trench warfare, and although he rose to the occasion displaying remarkable valour, it left him deeply shaken and his philosophy practically a denial of any possibility for human meaning. Wittgenstein was not alone in his visceral reaction to the terrors of WWI. Many began to consider that at best, God was only remotely concerned with the world's workings and that to understand those workings and perhaps even shape them, we would have to look elsewhere.
Together Nietzsche, Heidegger and Wittgenstein brought western
philosophy to the brink of nihilism
But even while philosophy despaired, science had quietly begun developing models detailing the human relationship to the world-in-itself. This scientific awakening offered a revolutionary new perspective of our place in the universe, one that converged on several different fronts into a single idea; people are a part of nature - as the old saying goes, just like the trees and the stars you have a right to be here.
Just as western philosophy flirted with nihilism, science confirmed that everything in the universe, ourselves included, is made of the same hundred-odd elements. This discovery soon developed into the understanding that all elements are forged in stars from the same simple building blocks and spread to the rest of the universe when stars die. We, along with everything else, are stardust.
But science soon moved beyond a simple unification of nature based on a shared universal composition. Perhaps the scientific finding having the greatest impact on our perceived relationship to the universe was the theory of natural selection developed by Charles Darwin. This theory offered an alternative to God’s special creation, placing humans above all other living things and describing humanity as a recent evolutionary design directly related to all other organisms. Darwin’s brilliant description of natural selection in On The Origin Of Species included many examples from the natural world supporting his theory incompatible with the Christian theory of creation from design. Many open-minded readers found Darwin’s arguments devastating to the biblical account, causing a collapse in credibility, a profound cultural shock recorded by pessimistic philosophers, such as Nietzsche and Heidegger.
Gone was our favoured place among the gods, and we found
ourselves instead exposed to a sense of meaninglessness within a vast, uncaring
universe. Yet, once over that initial shock, a closer reading of Darwin reveals
new, more profound meaning. As noted by the Darwinian champion Thomas Huxley
(1825 – 1895) in his great book Evidence As to Man's Place In Nature
Mr. Darwin's hypothesis is not, so far as I am aware, inconsistent with any known biological fact; on the contrary, if admitted, the facts of Development, of Comparative Anatomy, of Geographical Distribution, and of Palaeontology, become connected together, and exhibit a meaning such as they never possessed before
We were no longer the favoured children of an all-powerful
God, but we had gained membership in the more tangible family of all living
things. As Darwin succinctly noted, this context provides us with significant
There is grandeur in this view of life
Although scientific explanations, such as natural selection, offered meaning through our context within nature, they often provide only a vague summary of nature-in-itself. Natural selection reduces almost to tautology in its central claim that only the fittest organisms exist because fitness is the relative frequency of existence. It only escapes tautology due to the non-statistical or functional aspects of fitness composing a vastly complex network of adaptation working in conjunction to retain an organism within existence. Although natural selection, by itself, does not go far in exposing the thing-in-itself of existence, science began developing knowledge of those mechanistic details.
Kant’s dichotomy, although softened by scientific
understanding, remained stark. The modern scientific philosopher Alfred
Korzybski (1879 – 1950) framed the Kantian dichotomy with a caveat offering a
A map is not the territory it represents, but, if correct, it has a similar structure to the territory, which accounts for its usefulness.
Here he makes two claims. The first supports Kant’s view that maps (models) and territories (things in themselves) are separate and should not be confused. He describes a dichotomy that is still somewhat faddishly used as putdowns to proposed explanations, dismissing them as confusing the map with the territory, mistaking mere description for the thing-in-itself. His second point is more substantial than the first; any map is a good map to the extent that it shares its territory’s logical structure.
Ensuing developments during the scientific age have explored this caveat bridging Kant’s dichotomy. As one example, Darwinian evolution argues that animals’ sensory perceptions should accurately portray the world-in-itself; senses and perceptions have evolved for the practical purpose of allowing animals to navigate challenges posed by the world-in-itself. It identifies perception as an adaptation for accurately portraying aspects of the world-in-itself and describes a mechanism for improving this perceptual accuracy over evolutionary time. In other words, the world-in-itself and animals’ perceptions of it must share much the same logical structure.
Nature's many domains such as life may be viewed, within the framework of inferential systems, as instances where autopoietic models, such as genomes, transform into existing entities such as organisms. Here the map transforms into the territory, revealing both as composed of the same logical structure. This transformative relationship allows scientific models to extend natural models and transform them into natural processes wielding tremendous powers. How could this kind of power be possible unless the underlying scientific models are, to a large extent, true?
A favourite, perhaps an apocryphal example, involves one of the first physicists to understand the process of nucleosynthesis within stars. While stargazing with a girlfriend, he bragged that he was the only person who truly understood why stars shone. His brag implied a close correspondence between the scientific model he had discovered and stellar things-in-themselves, a correspondence borne out by utilizing his newly discovered model as a recipe for building thermonuclear bombs a few decades later. When carefully followed, this scientific model transforms into mini stars here on earth. How can models that prove so powerful fail to be faithful representations or share the same logical structure as the things-in-themselves?
The development of Covid-19 vaccinations provides a further example illustrating convergence between scientific models and the world-in-itself. The virus’ genetic code, published just weeks after it became a concern in China, stimulated a few medical labs to construct computer models of those genetic sequences expressing proteins on the virus’ surface. When these models are transformed into mRNA and injected into people, they alert the body's immune system, just as would an actual infection, ramping up antibodies capable of defeating future viral infections. This transformation from scientific model to immune system stimulation causes the vaccine's effectiveness and indicates convergence between scientific models and the world in itself.
As a final and perhaps decisive example of the convergence between
scientific models and the world-in-itself, we consider computation's power to
model natural processes. The Church-Turing thesis states that a Turing machine,
the technical name for a classical computer having unlimited resources, can
compute any computable function
The recent theoretical discovery of quantum computing has propelled
this thesis into the Church – Turing - Deutsch principle
As illustrated by these examples, scientific understanding has evolved beyond mere descriptive models to provide models capable of duplicating or simulating nature’s many mechanisms and bringing entities to exist within the world in itself. In other words, we can view the world in itself as essentially similar to our scientific models – resolving the Kantian dichotomy.
Scientific models simulate both nature’s models or generalized genotypes and their resulting physical forms, or generalized phenotypes, existing as the world in itself. But science goes beyond simulating existing forms and can serve as a generalized genotype that brings new technologies into existence.
The world itself and its scientific models are vastly complex, hierarchical nestings of inferential systems; each system is engaged in a cyclical two-step inferential process, evolving and implementing knowledge for existence. These two steps are consequences of the free-energy principle, which states that systems maximize the evidence predicted by their models and thereby reduce the surprise they experience. Systems may do this in two ways:
1) They may accurately follow their models’ knowledge (active inference), causing the world in itself to conform to their models.
2) They may update their models to greater accuracy using evidence of their existence (learning or evolution) within the world in itself, causing their models to conform to reality.
These two steps form cyclic inferential systems where knowledgeable models create and maintain the world in itself (e.g. genotypes create and maintain phenotypes), and the phenotype’s experience within the world in itself updates model knowledge (e.g. natural selection). This universal dualism explains the accumulation of knowledge in the universe and identifies science as a recent, powerful, but essentially natural method of knowledge accumulation. We suggest that in this manner, the chasm between scientific models and the natural world in itself is bridged.
Inferential systems provide a general scientific description of existence and an account of the world-in-itself, where each entity within the vast web of existence is inferentially engaged in exploring possibilities for existence. Here, the polar concepts of scientific description and the world-in-itself converge in the nascent field of Bayesian mechanics (421), which, like Newtonian mechanics, serves as a scientific description and an account of the world-in-itself. Science’s inferential nature provides optimal models, those sharing maximal logical structure with the vast inferential system composing the world-in-itself. In other words, science provides potent maps of the world’s territory because of its shared logical structure.
Part I of this book claimed that all forms of existence are examples of inferential systems. Part II explored and described inferential systems, and Part III interpreted modern scientific findings in the domains of cosmology, quantum phenomena, biology, neural-based behaviour and culture as inferential systems. Almost certainly, many of this account’s details are incorrect but more accurate, universalist explanations of existence may soon emerge because many convergent frameworks are under development. And we may also have confidence that this eventual explanation will describe existence in terms of knowledge and knowledge in terms of inferential processes.
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 Sometimes these eureka moment celebrations can be deflationary. The neuroscientist Geoffry Hinton (born 1947) is reported to have announced to his family that he believed he had finally figured out how the human brain worked. His fifteen-year-old daughter replied: ‘Oh Daddy, not again!’.