Thus, as previously mentioned, clarifying how a prebiotic chemical system acquired self-organizing ability is critical. Several ideas about this issue have been proposed. The formation of dynamic order, such as chemical oscillations and spatiotemporal patterns, referred to as dissipative structures or self-organization by Prigogine, has attracted intense attention because of the similarity of such oscillations and patterns to nervous impulses in animals and patterns on the bodies of zebras, leopards, and tropical fish. However, phenomena studied thus far do not approach the quality and function of selforganization in living organisms. As an advanced form of such studies, a number of researches have been made on self-organization in open reaction networks through autocatalytic or cyclic reactions, called dynamic kinetic stability (DKS). Selforganization in a reaction system has also been studied in complexity science. Kauffman and coworkers reported by computer simulation that a reaction network can develop collective catalytic actions when it achieves sufficient complexity and that such a reaction network can replicate itself. To explain the behavior of living things which looks free from universal physical laws, researchers in complexity science have asserted that life emerges at the edge of chaos. However, these models are only theoretical. In fact, Mitchell has pointed out the lack of an explanation for how theoretical models in complexity science are realized on the basis of physicochemical laws governing actual substances. According to the concept of the autopoiesis system, Luisi and coworkers aimed to construct an experimentally accessible system to mimic a living cell and reported a simple reaction system using a reverse micelle. This system is indeed interesting but is still mainly formed by static self-assembly due to intermolecular interactions. Thus, no sufficiently convincing mechanism for explaining the emergence of life has thus far been reported.