Our March session was led by Ed Lorch whose career was in a privatised part of the Atomic Energy Commission working in both the UK and the US and he has long been interested in the phenomenon of EMERGENCE which few of us had ever heard of. Intrigued however many turned up to hear him leading yet again to thoughtful and challenging questions which I think left us looking at the world and the claims of science in new ways. His notes follow.
Anvil Discussion 28/3/25
Hi everybody
My talk has three sections
The first is a very short explanation of a problem that disturbs me about belief in the existence of Laws of Nature.
We look to describe everything in terms of Cause and Effect but Emergence
which has effects seemingly without any identifiable cause, must then remain a
mystery .
The second part explains what Emergence is and how it differs from everyday
science
The third section is a more digestible illustrated version including video clips
of the examples I have used.
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Last year, you had a lecture on the Anthropic Principle. Regrettably, I was
unable to attend. However, with hindsight this may have been for the better. For as
a former ardent advocate of the anthropic principle, going back to the 1980’s, I
had become disillusioned with how it was being promoted by scientists
themselves.
The 1st Anthropic Principle states: That the Laws of Nature are
astonishingly just perfect for life. But that should be no surprise because if they
weren’t we would not be here to observe them.
But are the Laws of Nature real? Do they exist in a separate realm? Waiting to
be discovered by Man. Or are they Man made concepts?
3 centuries ago Immanuel Kant wrote, We should refrain from seeking explanations based on concepts we ourselves create
I believe the Laws of Nature are concepts we ourselves invent and that when
examining Emergent Phenomena we must take heed of Kant’s comment
viz: Not to look for explanations using the Laws of Nature we ourselves
invent.
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Since the Enlightenment, science has achieved remarkable success in
elucidating Causes and their Effects, thereby establishing those fundamental laws
of nature. This approach is known as Reductionism.
Reductionism breaks everything down into basic parts and gives us knowledge,
technologies and progress as a species. For instance in the extreme, quantum
theory has been incredibly successful and has led to many scientific discoveries
and technologies. You may also have heard how theoretical scientists like Steven
Hawkins, talk about a Theory of Everything which will unite two remarkably productive sciences; Einstein’s Relativity with Quantum physics. One describes the
infinitely great and the other the infinitely small.
But, to achieve this, will require some uncomfortable accommodations by us.
Space itself may have to be shown to be made up of tiny (quantum sized) units. If
so what are these spatial units themselves to be in? Time also will have to
disappear so you wont be bothered with questions such as what came before the
big bang!
And many many more unrealistic things to digest
Leaving us with the question – IS REALITY NOT WHAT IT SEEMS?
Emergence on the other hand is Reality, Life where complex
systems and patterns arise from the interactions of simpler components, resulting
in properties that unlike reductionism, cannot be predicted by analysing the
systems individual parts alone.
This concept is evident in various fields such as biology, physics, and social sciences. For example, in biology, consciousness emerges from neural activity, while in physics, temperature arises from molecular motion. In social sciences, crowd behaviour emerges from individual actions.
In contrast Reductionism struggles to explain how higher-level properties and
behaviours emerge from lower-level interactions because these systems exhibit
behaviours and properties that cannot be reduced to the characteristics of its individual components.
For instance, beehives operate as decentralised systems,
where individual bees follow simple rules, resulting in adaptive decision-making.
Similarly, slime moulds display problem-solving abilities without a central nervous
system, and neural networks (both biological and artificial) exhibit cognition and
learning that cannot be deduced from a examining single neurons.
Traditional reductionism fails in explaining these systems because their
properties emerge from interactions rather than individual elements. Emergent
phenomena arise when simple components combine to form something
significantly more intricate, akin to a form of magic that arises from collaboration
without central control.
Examples of emergent order include economies, market prices and
innovations that arise from the collective actions of buyers and sellers, and fashion
trends shaped by individual choices.
Artificial intelligence is also considered an example of an emergent
phenomenon, where complex behaviours arise from simple rules and interactions
within a system, (such as your phone) without explicit programming.