Geometric modeling and complexity - a conceptual approach in architectural design and education

  • Rada Čahtarević Faculty of Architecture University of Sarajevo, Sarajevo
  • Adna Proho Drei Architekten, Stuttgart
Keywords: architectural design, complexity theory, geometry, modeling

Abstract

By encompassing abstraction and patterned information, the new fields of geometry and mathematical models of complex dynamic spatial systems provide a new method for spatial modeling. Different approaches to the application of spatial modeling in architectural design are possible, taking into consideration on the one hand the theoretical background and knowledge of geometry, and on the other, advanced computational techniques. The generative principles of complex dynamic spatial formation allow parallels between the differentiated representations and directions of approach to spatial organization. The integration of conceptual, theoretical and practical methods into complex dynamic geometric models in the preliminary phase of design could support the development of cognitive capabilities, internal representations and understanding of complex dynamic formative processes. The development of nonlinear, dynamic, complex spatial imaginative thinking corresponds with trends in contemporary computational design. The application of complex geometric modeling, including sophisticated mechanisms of human perception, intelligence and creativity, provides a synthesis of artificial and human potential.

References

Aish, R., Bradella, N. (2017) The Evolution of Architectural Computing: From Building Modeling to Design Computation, Architectural Research Quarterly, Vol. 21, No.1, pp. 65-73.

Ammon, S. (2017) The Rise of Imagery in the Age of Modeling, in Ammon, S., Capdevila-Werning, R. (eds.) The Active Image: Architecture and Engineering in the Age of Modeling, pp. 287-312. London: Springer.

Cilliers, P. (2001) Boundaries, Hierarchies and Networks in Complex Systems, International Journal of Innovation Management, Vol. 5, No. 2 , pp. 135-147.

Cross, N. (2008) Engineering Design Methods: Strategies for Product Design. Chichester: John Wiley & Sons.

Čahtarević, R. (2008) Universality of Complexity: From Geometric Spatial Concept of Modernism to Contemporary Architectural Form, Prostor, Vol. 16, No.1, pp. 64-75.

Eastman, C. (2001) New Directions in Design Cognition: Studies of Representation and Recall, in Eastman, C. Newstetter, W., McCracken, M. (eds.) Design Knowing and Learning: Cognition in Design Education. Amsterdam: Elsevier Science Press, pp. 147-198.

Legendre, G. (2011) The Mathematics of Sensible Things, Mathematics of Space, Architectural Design, Vol. 81, Iss. 4, pp. 8-17.

Menges, A. (2007) Computational Morphogenesis: Integral Form Generation and Materialisation Processes, 3rd International ASCAAD Conference on Embodying Virtual Architecture, Alexandria: ASCAAD, pp. 725-744.

Mitchell, M. (2009) Complexity: A Guided Tour. New York: Oxford University Press.

Mitchell, W. J. (1990) The Logic of Architecture: Design, Computation, and Cognition. Cambridge, Mass: MIT Press.

Picon, A. (2004) Architecture and the Virtual: Towards a New Materiality, PRAXIS, No. 6, pp. 114-121.

Simon, H. (1962) The Architecture of Complexity, Proceedings of the American Philosophical Society, Vol. 106, No. 6, pp. 467-482.

Stolterman, E. (2003) Design Judgement: Decision-Making in the 'Real' World, Design Journal, Vol. 6, No. 1, pp. 23-31.

Winograd, T. (1991) Thinking machines: Can there be? Are we? in Sheehan, J. and Sosna, M. (eds.) The Boundaries of Humanity: Humans, Animals, Machines. Berkeley: University of California Press, pp. 198-223.

Published
2019-12-30
Section
Review Paper