Dynamics in Alchemy
Coming Attraction: CHAOS THEORY IN TRANSMODERN ALCHEMY
by Iona Miller, 2009
THE TRANSMODERN ALCHEMIST
CHAOS THEORY IN TRANSMODERN SPIRITUAL ALCHEMY
Whether alchemy can perform a causal transformation of metals to gold or not, it certainly has the capacity for creatively stimulating the imagination and the kind of divergent thinking that leads to discovery.
Dynamics is a universal tool, a novel practice which helps us grasp the processes of emergence, self-organization and nonlinear development in ourselves, in nature, in our world and the cosmos.
Dynamics is a synthesis of recent scientific theories: system dynamics, living systems, general systems, chaos, edge-of-chaos, complexity, emergence, self-organization, complex adaptive systems, quantum gravity, quantum cosmology, attractors, and homeodynamics.CHAOS: In Greek myth, Chaos is the original dark void from which everything else appeared. In science, chaos describes the behavior of certain dynamical systems – with states that evolve with time and exhibit dynamics that are highly sensitive to initial conditions (butterfly effect). This sensitivity manifests itself as an exponential growth of perturbations in the initial conditions. So, the behavior of chaotic systems appears to be random. These systems are deterministic, meaning that their future dynamics are fully defined by their initial conditions, with no random elements involved. This behavior is known as deterministic chaos, or simply chaos. Systems that exhibit mathematical chaos are deterministic and thus orderly in some sense; this technical use of the word chaos is at odds with common parlance, which suggests complete disorder. Chaotic systems show a strong kind of unpredictability not shown by other deterministic systems. Quantum chaos theory studies systems that follow the laws of quantum mechanics.
EDGE-OF-CHAOS: Describes a phase transition of behaviors. In the sciences in general, the phrase has come to refer to a metaphor that some physical, biological, economical and social systems operate in a region between order and either complete randomness or chaos, where the complexity is maximal. In some systems evolution is maximized near the edge of chaos.