“Inside every working anarchy, there’s an old-boy network.”
– Mitch Kapor, founding chair of the Mozilla open source code factory.
Traffic in 2002 Phnom Penh was a sort of functional anarchy. Signage served as little more than a suggestion, and main intersections were usually chaotic. As a motorcyclist, crossing bigger intersections in the inner city generally involved merging into a large enough pack of two-wheeled vehicles until the crowd-as-a-whole could push its way across en-mass.
What precipitated that tipping-point when the flock would move together, I can’t say. But somehow, it worked remarkably well for for the vast majority of those who participated in the swarm. It’s always fascinated me how functional patterns emerge from apparent chaos.
In 1989, Gerardo Beni and Jing Wang at the University of California in Riverside proposed the idea of “Swarm Intelligence”. Both researchers were studying ways to find the best solutions to problems with regard to interacting robots.
In a swarm intelligence, each individual in the group is independent of others and responsible only for its own limited set of simple behaviors with regard to solving a problem, regardless of what others are doing. The concept is an approach to explaining how complicated, social problem-solving behaviors can emerge from a collective of relatively simple, individual actions.
You can think of this as the mass-intelligence of something like a beehive, where no single bee has the ability to make or to enforce judgments about the overall actions of the beehive as a whole. Instead, the colony’s collective behaviors emerge from just a few fundamental rules, simple enough to be encoded into the brain of an individual bee. With regard to robotic communication, interaction and artificial-intelligence systems, this algorithmic approach to emergent social behaviors is known as “computational swarm intelligence”.
Of course, emergent patterns of collective social interaction aren’t anything new. Humans have been engaging in them since… probably before we were even “humans”. But the profoundly complex social and physical structures that have emerged from massive groups of humans is something relatively new. Our oldest significant physically created structure, the Göbekli Tepe, dates back at most 10,000 years as what was probably a gathering place for trade and the sharing between tribes of some socially binding neolithic religious practices. But genuine crowds are a far more recent occurrence.
At the age of thirty, the brilliant French polymath, Charles-Marie Gustave Le Bon, witnessed the Paris Commune of 1871. Watching as mobs of Parisians burned and destroyed their own city’s
irreplaceable works of architectural history, the event would deeply affect his world-view.
Le Bon observed that the behavioral boundaries of people in crowds regressed, and that they became easily hypnotized by and swept up in the moods and messages of the overall group. In 1895, he would write a culminating, Psychologie des Foules (Psychology of Crowds). In his work, Le Bon identified several emergent characteristics of crowd psychology, which he broadly categorized as: impulsiveness, influence by suggestion, exaggeration of sentiment, intolerance, and lack of morality.
“The Force has power over weak minds.”
– Obi-Wan Kenobi
Le Bon also proposed that the emergence of crowd politics in great cities at the centers of nations was resulting in the replacement of old systems of fealty to sovereigns. But this also meant that political movements would become, “...more and more swayed by the impulse of changeable crowds, who are uninfluenced by reason and can only be guided by sentiment,” something he referred to as, “intellectual anarchy”.
The Paris Commune may have collapsed under the weight of its own collective mismanagement. But Le Bon’s thesis appealed to the French social and political theorist and socialist-anarchist, Georges Sorel. If crowds were the new political movers, and crowds could also be easily led by emotion, then a centralized leadership could be established by those who could convey some grand and moving narrative.
For his part, Sorel attempted, if unsuccessfully, to advance the myths of French nationalism and the “general strike” as a way to gain authority over an ethically unrestrained mass-movement of working-class crowds. In his 1908, Reflections on Violence (p.108), “…there has been no hesitation in urging the workers not to refrain from brutality when this might do them service.” It was a philosophy that directly foreshadowed the nationalist mythologies and violence of emerging fascist and communist movements and cults-of-personality in both Europe and Asia.
An amplified, if not emergent impetus can arise from the communal interactions of large numbers of people. Moving within a massive, 1:00AM crowd departing a fireworks display at San Francisco’s “Embarcadero”, the assemblage had been primed by two shootings in the area earlier that night. A firecracker would have resulted in the collective dysfunction of a stampede; but I would have been compelled to participate if I was to survive.
When it comes down to the basic rules that govern human behaviors, we’re not really all that much more complicated than those bees that comprise the hive. Natural selection has equipped our fundamental responses to our environment such that they’re governed by just a few underlying rules to best guarantee our long-term survival: fear, a drive for social connection, and a compulsion to sense and to interact.
In that regard, both the hormones and the pharmaceuticals of a society are emotional rhetoric, mythologies, and the subliminal urgings of enabled crowds. As individuals, we define what emerges collectively in belief systems and social or tribal customs, nationalism, “civilization”, and warfare. Kevin Kelly, in his book, What Technology Wants, even takes this a step farther, asserting that technologies physically represent that emergent intelligence.
Regardless, we don’t usually sense the underlying forces that tip a crowd’s collective behavior one way or another. In very large crowds, this greater impetus can emerge suddenly as the extreme magnification of untethered base drives, resulting in swarm behaviors ranging from concert “mosh pits” and hoarding toilet-paper to soccer riots and looting… or even mass-murder. But that’s not always the case.
Indeed, the collective impetus can also be to move en-mass across an intersection, to form a human stadium-wave, or even to come to the aid of others. So whatever underlying seed of emotional suggestion causes a crowd’s behavior to tip in any particular direction represents a massively non-linear force.
References:
Beni, G., & Wang, J. (1993). Swarm Intelligence in Cellular Robotic Systems. In Springer eBooks (pp. 703–712). https://doi.org/10.1007/978-3-642-58069-7_38
Giddings, F. H. (1897). The Crowd. A Study of the Popular Mind . By Gustave Le Bon. The Macmillan Co. Science, 5(123), 734–735. https://doi.org/10.1126/science.5.123.734
Kelly, K. (2011). What Technology Wants. Penguin.
Silverberg, J. L., Bierbaum, M., Sethna, J. P., & Cohen, I. (2013). Collective Motion of Humans in Mosh and Circle Pits at Heavy Metal Concerts. Physical Review Letters, 110(22). https://doi.org/10.1103/physrevlett.110.228701
Sorel, G. (2022). Reflections on Violence.
Sorel, G., & Jennings, J. (1999). Georges Sorel Reflections on Violence. In Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511815614
The Crowd: A Study of the Popular Mind by Gustave Le Bon. (1996, February 1). Project Gutenberg. https://www.gutenberg.org/ebooks/445





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