Recently I came across some things written on emergent
phenomena. While I was searching for “emergence” as a theme and thus was not
enlightened about emergence itself, I did come across something interesting in the
same domain. This is called downward causation.
Downward causation is when the higher order phenomenon exerts
influence on its constituents. This effect, if it can be inferred from the structure
of the system is called weak downward causation and if not, strong downward
causation. The weak downward causation is relatively simple idea – the parts
make the whole and the whole in turn affects the parts; and that the effects of
whole on parts are integral to the coming together of parts. The strong
downward causation is a much more powerful idea – since in this case the parts do
make the whole but it starts to influence parts in ways not foreseeable from
the parts alone. A set of new phenomena hence emerges at the level of the
whole.
Let us work with an example. If a lot of people walking on a
rope bridge decide for some reason to move towards its one side, the rope
bridge will tilt to that side and could potentially trip. The whole in this
case is influenced by its parts and influences the parts in turn. The fact that
the rope bridge turns over is neither unpredictable nor surprising. On the
other hand, in equity markets, the stocks constituting an index start to move
in a similar direction, they make the index move in that direction. Now some
market participants start to get influenced by the overall movement of the
index in one direction and that guides their actions regarding the constituents
of the index. In this case, the parts move the whole, the whole starts to
influence the parts in unpredictable ways.
Another example is the economy. Let us specifically refer to
what is called the paradox of thrift. While individually saving is considered a
virtue, if everyone starts to save more in an economy, the total and per capita
income is bound to fall. In a mathematical identity sense, this is weak form of
downward causation since the behavior of the system can be predicted from the
parts and their interconnections. Where it may start to become strong form
downward causation is if the very act of falling incomes prompts people to save
even more thus creating a vicious circle of greater savings and lesser incomes.
The presence of downward causation raises a fundamental epistemological
question as regard our methods of enquiry in sciences hard and soft. The
reductionist and analytical approach is likely to hit its bounds when dealing
with real life due to presence of emergence and downward causation. Stated
simply, knowing how electrons and molecules behave will still not tell us how systems
like whether evolve and knowing how individuals react to economic incentives
will not tell us how the economy will evolve. Granted that the study of parts
is a crucial first step in most enquiries. The almost exclusive focus on
reductionist methods is quite a limiting feature of our knowledge building
endeavour though. In general the reductionist conclusions are aggregated
clumsily into larger wholes (as in economics) or left to statistical techniques
(e.g. thermodynamics and gas theory) or simply left alone (particle physics vs
real objects).
Fritjof Capra draws attention to this in his emphasis on
synthetic thinking besides analytical thinking in the pursuit of knowledge. As
we grapple with the complexities of real life and real system, and armed with
the computational power unheard of just 20 years ago, I suppose we can start to
build models of emergent phenomena and downward causation.
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