In this 20-minute video Jeremy Lent gives a brief introduction into his system of liology, his response to substance dualism. Conventional science maintains this dualism, so it is up to the ecological science of dynamical systems theory to correct it. He finds a precursor of systems science in Chinese Neo-Confucianism, which seems a bit of romantic retro-fitting to me, given their own environmental degradation which he minimalizes in his book The Patterning Instinct. That aside, he’s right about the emerging paradigm of systems science as a necessary metaphoric shift if we are to have any chance of curtailing climate change and implementing a sustainable and humane future.
This very rich, conversational thought piece asks if we, as participant designers within a complex adaptive ecology, can envision and act on a better paradigm than the ones that propel us toward mono-currency and monoculture.
We should learn from our history of applying over-reductionist science to society and try to, as Wiener says, “cease to kiss the whip that lashes us.” While it is one of the key drivers of science—to elegantly explain the complex and reduce confusion to understanding—we must also remember what Albert Einstein said, “Everything should be made as simple as possible, but no simpler.” We need to embrace the unknowability—the irreducibility—of the real world that artists, biologists and those who work in the messy world of liberal arts and humanities are familiar with.
In order to effectively respond to the significant scientific challenges of our times, I believe we must view the world as many interconnected, complex, self-adaptive systems across scales and dimensions that are unknowable and largely inseparable from the observer and the designer. In other words, we are participants in multiple evolutionary systems with different fitness landscapes at different scales, from our microbes to our individual identities to society and our species. Individuals themselves are systems composed of systems of systems, such as the cells in our bodies that behave more like system-level designers than we do.