Models and metaphors: some applications of complexity theory for design, construction and property management

Complexity thinking may have both modelling and metaphorical applications in the design, construction and servicing of the built environment. In production theory, queuing and variation have been central in generating improvement initiatives. The complexity of these phenomena in construction suggests that non-linear and complex mathematical techniques such as fuzzy logic, cellular automata and attractors, may be applicable to their analysis. Some issues are: the definition of phenomena in a mathematically usable way; the functionality of available software; the possibility of going beyond representational modelling. Much work in management studies, rather than employing mathematical techniques, draws metaphorically on insights into complexity. Metaphor may enlighten or confuse. Is metaphorical application of complexity ideas simply a first step towards the application of mathematical techniques, or does the mathematical insight contribute to the development of a non-mathematical mode of thought? The metaphor of a 'commentary machine' is suggested as a possible way forward.

[1]  A. Strauss,et al.  Psychiatric Ideologies and Institutions , 1981 .

[2]  G. Hofstede.  Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

[3]  E. Bono.  The use of lateral thinking. , 1967 .

[4]  G. Hughes.  In search of excellence , 2006, Emergency Medicine Journal.

[5]  Weiming Shen,et al.  Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing , 2000 .

[6]  Harvey Sacks,et al.  An initial investigation of the usability of conversational data for doing sociology , 1972 .

[7]  Christen Rose-Anderssen,et al.  New Product Development as a Complex Adaptive System of Decisions , 2006 .

[8]  Cynthia F. Kurtz,et al.  The new dynamics of strategy: sense-making in a complex and complicated world , 2003, IEEE Engineering Management Review.

[9]  Wes Sharrock,et al.  Computers, Minds and Conduct , 1995 .

[10]  Eric Livingston,et al.  Making Sense of Ethnomethodology , 1987 .

[11]  J. Schwartz,et al.  Theory of Self-Reproducing Automata , 1967 .

[12]  J. Alexander,et al.  Images of Organization , 1988 .

[13]  E. F. Codd,et al.  Cellular automata , 1968 .

[14]  T. Pollock,et al.  A Grammar of Motives. , 1945 .

[15]  Harvey Pinney.  The Structure of Social Action , 1940, Ethics.

[16]  W. Sharrock,et al.  Operating the production calculus: ordering a production system in the print industry. , 2002, The British journal of sociology.

[17]  Richard M. Burton,et al.  Organizations and Complexity: Searching for the Edge of Chaos , 2000, Comput. Math. Organ. Theory.

[18]  G. Ryle,et al.  心的概念 = The concept of mind , 1962 .

[19]  P. Cilliers,et al.  The Theory and Practice of Complexity Science : Epistemological Considerations for Military Operational Analysis , 2000 .

[20]  J. Rooke,et al.  Planning for claims: an ethnography of industry culture , 2004 .

[21]  Carlos Gershenson,et al.  How can we think the complex , 2004, nlin/0402023.

[22]  Hjp Harry Timmermans,et al.  A Multi-Agent Cellular Automata Model of Pedestrian Movement , 2001 .

[23]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[24]  M. Weber,et al.  The Agrarian Sociology of Ancient Civilizations , 1976 .

[25]  Detlef Seese,et al.  The building blocks of complexity: a unified criterion and selected applications in risk management , 2003 .

[26]  L. Henderson.  On the Social System , 1993 .

[27]  Willi-Hans Steeb,et al.  The Nonlinear Workbook , 2005 .

[28]  T. Parsons,et al.  The Structure of Social Action , 1938 .

[29]  B. Kosko.  Fuzzy Thinking: The New Science of Fuzzy Logic , 1993 .

[30]  E. Tiryakian,et al.  Studies in social interaction , 1972 .

[31]  P. Allen.  Cities and Regions as Self-Organizing Systems: Models of Complexity , 1997 .

[32]  C. Handy.  The empty Raincoat : Making sense of the Future , 1994 .

[33]  David Snowden,et al.  The First Age: Information for Decision Support 1995: the Transition to the Second Age Complex Acts of Knowing: Paradox and Descriptive Self-awareness , 2022 .

[34]  A. Schutz.  The Problem of Social Reality , 1996 .

[35]  Peter M. Allen,et al.  Cities And Regions as Evolutionary, Complex Systems , 1997 .

[36]  H. Garfinkel,et al.  Two incommensurable, asymmetrically alternate technologies of social analysis , 1992 .

[37]  R. Kanter.  The Change Masters: Corporate Entrepreneurs at Work , 1985 .

[38]  J. S. Berry,et al.  Introduction to non-linear systems , 1996 .

[39]  Robert Trappl,et al.  Agent Culture: Human-Agent Interaction in a Multicultural World , 2004 .

[40]  Eve Mitleton-Kelly,et al.  Complex systems and evolutionary perspectives on organisations: the application of complexity theory to organisations , 2003 .

[41]  Ralph Stacey,et al.  Complex Responsive Processes in Organizations: Learning and Knowledge Creation , 2001 .

[42]  Stephen J. Guastello,et al.  Chaos, Catastrophe, and Human Affairs: Applications of Nonlinear Dynamics To Work, Organizations, and Social Evolution , 1995 .