In his book, "The Self-Organizing Economy," the 2008 Nobel laureate in economics Paul KRUGMAN provides his own account of how the capitalism-based, self-reinforcing (or self-organizing) mechanism of capital influences the development of urban space and the resulting imbalance between central areas and hinterlands, with the use of mathematical models that apply the concept of complex systems. Turning the self-reinforcing nature of capital into an advantage, this installation proposes, with the use of new geometrical and mathematical models, methodologies for controlling or gradually dismantling the self-organizing spatial mechanism that leads to urban inequalities. The exhibit aims to present a new urban model graphically, in which the urban model, which describes the relationships between dynamic central areas and hinterlands, function as a control system for urban development programs and thus become involved in a self-organizing mechanism.
KARASAWA Yuusuke
Born in 1976. Completed Architecture and Urban Design Course, Graduate School of Media and Governance, Keio University. With a fellowship of Japanese Government Overseas Study Program for Artists provided by the Agency for Cultural Affairs, joined the MVRDV (Netherlands) as a residence staff. In 2006, he founded his own firm Yuusuke Karasawa Architects. He explores architecture and urban space by employing information theory and algorithmic thinking. He contributed to the magazine "10+1" as guest editor in issue No.48, featuring "Algorithmic Thinking and Architecture" (INAX Publishing, 2007). His works include "villa kanousan" (2009).
MATSUYAMA Takashi
Born in 1978. Graduated from the Faculty of Environment and Information Studies, Keio University, and the Graduate School of Media and Governance, Keio University. Researcher of nonlinear science. Established GH9 Co., Ltd. in 2003. Specializing in the study of the dynamics of self-organization in dissipative structures and resulting mechanisms, he mainly focuses on mechanisms for developing consciousness phenomena, mathematical analysis of the information processing process in human cognitive systems, evolution equations potentially existing in nature, and chronological convergence of macroeconomic systems, among others.
