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A Systematic Approach to Parametric Design, From Methodology to Technology_Fin
Transcript of A Systematic Approach to Parametric Design, From Methodology to Technology_Fin
How designers work Problem-Setting Problem-Solving Design Process as co-evolution of problem-solution pairs and spaces
(Maher, 1996)(Cross & Dorst, 2007) Design Process as a course of negotiations between problems and solutions, through analysis, synthesis and evaluation
(Lawson, 2005) Analysis Nigel Cross-Kees Dorst Bryan Lawson Design Phenomenology:
What designed artefacts are Design Epistemology:
How designers think Cross, 1999 the nature of computational design devices the nature of intellectual design activity + The challenges of reduction, quantification, modeling, measurement and evaluation Recorded Design Process Design Optimization Design Space
Exploration Conventional Computer-Aided Design Real-Time Analysis Flexible Design Relational Modeling Reusable Routines & Procedures More Possibilities/Same Rationales Quantitative Assessment Systematic Search in Alternatives Drafting Aid Design is concerned with making the contingent: How things ought to be. Product: Artifacts, Artifical Environment Science is concerned with knowing the existent: How things are. Product: Knowledge POSITIVISM
(Herbert A.Simon, 1969) PHENOMENOLOGY
(Donald Schön, 1983)
(Horst Rittel, 1973) Situated Interpretations (Kees Dorst, 1997) DESIGN VS. SCIENCE COMPUTATIONAL DESIGN DESIGN METHODOLOGY Configurative vs. Geometric Interactive vs. Automatic Parametrization & Formulation Hierarchical vs. all-inclusive: a customizable tool suite is more useful than a universal design machine Street Network Shortest Path Performance Evaluation Reduction and Contextualization formulation is the systematic form of parametric sketching the most difficult thing to do is to quantify or measure every qualitative aspect of built environment Parametrization process is reiterative: this is to make sure you have control over design outcome PRAGMATIC FINDINGS &CONCLUSIONS the use of computational design a very short critique on the use of optimization phase models and block diagrams flowcharts for algorithmic thinking causal systems Seeking for the best explanation design research scope sounds quite systematic but is not the whole story methodology & scientific research paradigmatic discourse of design research Step-by-Step, interpretable process is appreciated more than automatic process design process partial optimization: comprehensible blocks
overall optimization: black box Epistemological Spectrum, after Okasha (2002) Behavior Performance Causal, Intentional or Dual Nature of the Artificial? (Kroes, 2002) CONFIGURATION PROBLEM Requirements, Constraints and Goals Materialized Geometric Shape Glass Box vs. Black Box Problem Definition (Analysis)
Determination of Variable Parameters Problem Formulation (Synthesis)
Design Space Determination Performance Measurement or Estimation Evaluation Synthesis it is impossible to prove that a solution is optimum in general sense Ir. Piourz Nourian PhD researcher in Design Informatics (Since 2010)
M.A. in Architecture (2009)
B.Sc. in Control Engineering (2004) Dep. Architectural Engineering + Technology/ Computation & Performance/TO&I Dep. Urbanism/ Urban Design Theory & Methods/U-Lab + Works Cited
Cross, N. (1999). Design Research as a Disciplined Conversation. Design Issues, 15(2), 5-10.
Cross, N. (2001). Can a Machine Design? Design Issues, Vol.17(No.4), 44-50.
Dorst, K. (1997). Describing Design: A Comparison of Paradigms. Delft: TU Delft University Press.
Dorst, K. (2007). The Problem of the Design Problem. In N. E. Cross, Expertise in Design - Design Thinking Research Symposium 6. Sydney: Creativity and Cognition Studios Press.
Dorst, K., & Cross, N. (2007). 'Co-evolution of Problem and Solution Spaces in Creative Design'. In J. M. Gero, Computational Models of Creative Design. Sydney: Key Centre of Design Computing and Cognition.
Gero, J. S. (2000). A Computational Model of Design Activity: FBS framework. Technical.
Hillier, B. (2007). Space is the Machine. LONDON: Cambridge University Press.
Horvath, I. (2001). A CONTEMPORARY SURVEY OF SCIENTIFIC RESEARCH INTO. INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN ICED 01. GLASGOW.
Lawson, B. (1980). How designers think (4th, 2005 ed.). Burlington: Architectural Press, Elsevier.
Lawson, B. (2004). Schemata, gambits and precedent: some factors in design expertise. Design Studies, 25(5), 443-457.
Lawson, B. (2005). Oracles, draughtsmen, and agents: the nature of knowledge and. Automation in Construction(14), 383– 391.
Maher, M. L. (1996). Modelling Design Exploration as Co-Evolution. Microcomputers in Civil Engineering(on Evolutionary Systems in Design).
Okasha, S. (2002). Philosophy of Science: A Very Short Introduction. Oxford University Press, USA.
Schon, D. (1987). The Reflective Practitioner. Cambridge: Cambridge University Press.
Simon, H. A. (1999). The Sciences of the Artificial. London: MIT Press International Seminar: Measuring Urbanity COMPUTATIONAL DESIGN METHODOLOGY FUNCTION FORM SOLUTION Panel IV: PARAMETRIC TOOLS AND DESIGN generic determined problems unique undetermined problems Beirão, J, Nourian, P, Mashhoodi, B, 2010, A Parametric Urban Design System, eCAADe 2011 Slovenia Conference. Beirão, J, Nourian, P, Mashhoodi, B, 2010, A Parametric Urban Design System, eCAADe 2011 Slovenia Conference. http://prezi.com/vugxpdznjx6e/edit/#3_6992697