7.2 Emergent Phenomena

From Sense & Sensibility & Science
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From ants to galaxies, studies of complex physical systems have revealed that surprising phenomena can often arise on the whole when a large number of components interact according to very simple rules. In the context of causation, we encourage students to consider emergence, rather than purposeful orchestration, as a possible causal explanation of certain societal phenomena, such as sudden market crashes and the virality of misinformation on social media.

The Lesson in Context

After discussing more concrete forms of causation, we now introduce a type of causation whose outcome is not measured on an individual level, nor on a statistical level (e.g. averaging over individuals). In emergent phenomena, the outcome cannot be found by measuring any number of individuals, but is purely a property of the entire system. We tie this concept of causation to society by recognizing that many sociological phenomena may be of this type.

Earlier Lessons

1.2 Shared Reality and ModelingTopic Icon - 1.2 Shared Reality and Modeling.png
  • The idea of emergent phenomena calls back to the "raft vs. pyramid" descriptions of science. From a reductionist viewpoint, all our understanding breaks down when we end up being wrong on a smaller scale. However, scientists may work on problems at different scales of explanation and still have meaningful results. Harkening back to the raft viewpoint, the areas where these explanations overlap should be consistent. If the explanation at any scale turns out to be wrong, it does not automatically invalidate the other scales.
7.1 Causation, Blame, and PolicyTopic Icon - 7.1 Causation, Blame, and Policy.png
  • Singular causation is individual intervention leading to an individual result. General causation is the same intervention on many individuals leading to results on these individuals that can be seen only statistically. Neither cover the case where the result is purely a property of the whole system, rather than any number of individuals.
  • When something goes wrong in society, we may blame a particular leader or policy. This is can be helpful in determining how to intervene for future prevention. However, one shouldn't overlook the possibility that the cause is emergent, and therefore the blame may be misplaced.

Later Lessons

8.1 Orders of UnderstandingTopic Icon - 8.1 Orders of Understanding.png
  • When deciding what simple objects and rules to include in a model of an emergent phenomenon, it is helpful to separate the first-order causes from the higher-order ones. For example, in modelling the persistent traffic jams on highways as an emergent phenomenon, we do not include honking.

Takeaways

After this lesson, students should

  1. Understand that simple things governed by simple rules can, in aggregate, result in surprisingly complex behaviors, which can be studied in and of themselves.
  2. Be aware of when complex behaviors in some physical and sociological systems may be the consequence of relatively simple rules on the constituents, and therefore not fully explicable by either reductionism or deliberate agents.
  3. Be aware of humans' tendency to over-perceive agency in external phenomena in general (e.g. anthropomorphizing), making us prone to mistaking emergent phenomena as intentional.
  4. Understand that there is value at larger and intermediate scales of explanation despite the fact that larger scales may be reducible to smaller ones.

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