Subsequently, computing through the process of emergence.

Subsequently, innovators can rectify the infrastructural
challenges of our society by applying natural computing through the process of
emergence. Put simply, emergence is a phenomenon of complexity
arising from simplicity, where the interactions between lesser entities
constitutes greater entities in a such a way that the whole forms new
collective properties and behaviours that is not expressed by the sum of its
parts (“Concepts: Emergence”). For instance, individual ants can’t accomplish
anything by themselves, however, when grouped into a colony, they form
collective movements that prevents their foraging trails from becoming
congested. Dr. Audrey Dussutour, a researcher at the Centre de Recherches sur la Cognition Animale in Toulouse, explains,
“individual behaviours can be optimised to serve a collective good – and what
this could mean for our future road networks and intelligent transport systems”
(“The mechanics of traffic: bringing ants to the picnic”). In other words, civil
engineers can solve traffic congestion and minimize vehicle accident by
building a collectively self-organized transportation network similar to ant
trails. Thus, the application of collective behaviours of ant colonies to a real-world
problem effectively demonstrates the efficacity of emergence. In addition, in order
to counter Zimbabwe’s hot climate, Mick Pearce, an architect, designed the shopping
center and office building Eastgate
Centre based on collectively built and self-regulating “termite mounds that
maintained stable internal climates by having a physical structure that enables
passive internal airflow” (“Eastgate Centre”). By modeling his design after a self-organizing
and self-maintaining structures, such as the termite mound, the architect was
able to keep energy costs down and eliminated the need for traditional
air-conditioning systems. As a result, Pearce’s building, designed on the emergent
property of thermoregulation, is another example that validates the
profitableness of incorporating emergence into our designs. Analogously, Swarm Logic™ is a wireless power controller
“based on the way that bees and other social insects communicate and coordinate
with each other using simple rules governing individual interactions” that seeks
to minimize electricity consumption by “enabling electrical appliances them
to communicate among themselves autonomously” (“Swarm Logic technology reduces
energy use”). The newly established communication network gives rise to emergent
behaviorism that allows the appliances to independently regulate their respective
energy usage in accordance to the collective demand. Therefore, Swarm Logic’s embodiment of emergent testifies
its practicality. Thus, by providing simple yet sophisticated models, emergence
inspires designers to adopt natural computing into their workflow as it enables
them to remedy poorly devised infrastructures from a different angle.

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