CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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50%; open Carpenter, G.A., S. Grossberg (et al.) (1991) Find in CUMINCAD ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network , Neural Networks 4: 565-588

50%; open Carta, S. (2021) Find in CUMINCAD Self-Organizing Floor Plans , Harvard Data Science Review. https://doi.org/10.1162/99608f92.e5f9a0c7

50%; open Carta, S. (2021) Find in CUMINCAD Self-organizing floor plans , Harvard Data Science Review HDSR. Available at: https://doi.org/10.1162/99608f92.e5f9a0c7

50%; open Cheddadi, M.A., Hotta, K., Ikeda, Y. (2019) Find in CUMINCAD Reinterpreting self-organizing urban tissues by designing a generative model , Revisiting the Role of Architecture for Surviving Development. 53rd International Conference of the Architectural Science Association, ANZAScA. pp. 175–184

50%; open Chen, Y (2003) Find in CUMINCAD Self-organization and self-organizing cities , City Planning Review, 27(10), pp. 17-22

50%; open Chen, YG (2003) Find in CUMINCAD SELF-ORGANIZATION AND SELF-ORGANIZING CITIES , City Planning Review, 10, pp. 17-22

50%; open Derix, C. & Thum, R. (2000) Find in CUMINCAD SOS: self-organizing Space , Essay for Generative Art 2000 Conference, Milan

50%; open Elber, G. (2003) Find in CUMINCAD Trimming Local and Global Self-intersections in Offset Curves Using Distance Maps , Mathematics of Surfaces. Lecture Notes Computer Science, 2768, 213-222. https://doi.org/10.1007/978-3-540-39422-8_15

50%; open Fukushima K (1980) Find in CUMINCAD Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , Biol Cybernetics 1980; 36: 193–202.

50%; open Fukushima, K (1975) Find in CUMINCAD Cognitron: A self-organizing multilayered neural network , Biological Cybernetics, 20(3-4), pp. 121-136

50%; open Fukushima, K (1980) Find in CUMINCAD Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position , Biological Cybernetics, 36, pp. 193 - 202

50%; open Gershenson, C, Santi, P and Ratti, C (2016) Find in CUMINCAD Adaptive Cities: A Cybernetic Perspective on Urban Systems , Senseable City Lab, Adaptation and Self-Organizing Systems

50%; open Gershenson, C (2012) Find in CUMINCAD Self-Organizing Urban Transportation Systems , Portugali J, Meyer H, Stolk E, Tan E, editors. Complexity Theories of Cities Have Come of Age. Heidelberg: Springer; 2012. p. 269-279

50%; open Gould, S.J. (1987) Find in CUMINCAD Is a new and general theory of evolution emerging? , F.E.Yates (ed.), Self-Organizing Systems: The Emergence of Order, Plenum Press, New York, pp. 113-129

50%; open Haken, H. (1983) Find in CUMINCAD Advanced Synergetics - Instability Hierarchies of Self-Organizing Systems and Devices , Springer-Verlag

50%; open Haken, H. (1983) Find in CUMINCAD Advanced Synergetics - Instability Hierarchies of Self-Organizing Systemsand Devices , Springer-Verlag

50%; open Helbing, D, Molnar, P, Farkas, I and Bolay, K (2001) Find in CUMINCAD Self-organizing pedestrian movement , Environment and Planning B: Planning and Design, 28, pp. 361-383

50%; open Helbing, D, Molnar, P, Farkas, I and Bolay, K (2001) Find in CUMINCAD Self-organizing pedestrian movement , Environment and Planning B: Planning and Design, 28, pp. 361-383

50%; open Helbing, D. and Monar, P., et al. (2001) Find in CUMINCAD Self-organizing Pedestrian Movement , Environment and Planning B: Planning and Design 28(3)

50%; open Helbing, D. et al. (2001) Find in CUMINCAD Self-organizing Pedestrian Movement , Environment and Planning B: Planning & Design, vol. 28, no. 3, pp. 361-383

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