John S. Gero

1994
Publications
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Books

  1. Gero, J. S. and Tyugu, E. (eds) (1994). Formal Design Methods for CAD, North-Holland, Amsterdam, 362pp.
  2. Gero, J. S. and Sudweeks, F. (eds) (1994). Artificial Intelligence in Design '94, Kluwer, Dordrecht, 770pp. (pdf)
  3. Coyne, R. D., Rosenman, M. A., Radford, A. D., Balachandran, M. B. and Gero, J. S. (1994). Knowledge-Based Design Systems (Japanese translation), Ohm-Sha, Tokyo, 522pp (original, 1990)


Book Chapters

  1. Gero, J. S. (1994). Design and creativity, in T. Dartnall (ed.), AI and Creativity, Kluwer, Dordrecht, pp. 259-267.
  2. Gero, J. S. (1994). Computational models of creative design processes, in T. Dartnall (ed.), AI and Creativity , Kluwer, Dordrecht, pp. 269-281. (pdf)
  3. Gero, J. S. (1994). Towards a model of exploration in computer-aided design, in J. S. Gero and E. Tyugu (eds) (1994). Formal Design Methods for CAD, North-Holland, Amsterdam, pp. 315-336. (pdf)
  4. Gero, J. S. (1994). Formal design methods for computer-aided design-closing discussion, in J. S. Gero and E. Tyugu (eds), Formal Design Methods for Computer-Aided Design, North-Holland, Amsterdam, pp. 353-360.
  5. Gero, J. S. (1994). Design, computers and creativity, in V. Popovic (ed.), Design Challenges, AIID, Brisbane, pp. 12-18.
  6. Gero, J. S. and Damski, J. (1994). Object emergence in 3D using a data driven approach, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '94, Kluwer, Dordrecht, pp. 419-436.
  7. Purcell, A. T., Gero, J. S., Edwards, H. and Matka, E. (1994). Design fixation and intelligent design assistants, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '94, Kluwer, Dordrecht, pp. 483-496.
  8. Rosenman, M. A., Gero, J. S. and Maher, M. L. (1994). Knowledge-based design research at the Key Centre of Design Computing, in G. Carrara and Y. Kalay (eds), Knowledge-Based Computer-Aided Architectural Design, Elsevier, Amsterdam, pp. 329-378.


Journal Papers

  1. Gero, J. S., Louis, S. and Kundu, S. (1994). Evolutionary learning of novel grammars for design improvement, AIEDAM, 8(2): 83-94. (pdf).
  2. Gero, J. S. and Yan, M. (1994). Shape emergence using symbolic reasoning, Environment and Planning B: Planning and Design, 21: 191-218. (link)
  3. Gunaratnam, D. and Gero, J. S. (1994). Effects of representation on performance of neural networks in structural engineering applications, Microcomputers in Civil Engineering, 9: 97-108. (pdf)
  4. Rosenman, M. A. and Gero, J. S. (1994). The what, the how and the why in design, Applications of Artificial Intelligence, 8(2): 199-218. (journal link)
  5. Rosenman, M. A., Gero, J. S. and Maher, M. L. (1994). Knowledge-based design research at the Key Centre of Design Computing, Automation in Construction, 3(2-3): 229-237. (journal link)

Conference Papers

  1. Damski, J. and Gero, J. S. (1994). Visual reasoning as visual re-interpretation through re-representation, AID'94 Workshop on Reasoning with Shapes in Design, Lausanne, pp. 16-20.
  2. Damski, J. and Gero, J. S. (1994). A model of shape emergence based on human perception, Information Technology in Design, Vol. 2, ICSTI, Moscow, pp. 96-105.
  3. Gero, J. S. (1994). Engineering design, computers and creativity: some explorations and prognosis, in D. Rehak (ed.), Bridging the Generations-Future Directions of Computer-Aided Engineering, Department of Civil Engineering, Carnegie Mellon University, pp. 195-200.
  4. Gero, J. S. (1994). Exploration as a basis of creative engineering design, in K. Khozeimeh (ed.), Computing in Civil Engineering, ASCE, New York, pp. 1825-1831.
  5. Gero, J. S. (1994). Computers and creativity in architecture, CADEX NSW'94, ACADS, Sydney, 8pp.
  6. Gero, J. S. (1994). Machine learning of optimal design problem formulations, AID'94 Workshop on Machine Learning in Design, pp. 1-4.
  7. Purcell, A. T., Gero, J. S., Edwards, H. and McNeill, T. (1994). The data in design protocols: The issue of data coding, data analysis in the development of models of the design process, Analysing Design Activity-The Delft Protocols Workshop, Delft University of Technology, pp. 169-187.
  8. Wang, W. and Gero, J. S. (1994). Dynamic memory approaches to qualitative prediction, in C. Zhang, J. Debenham and D. Lukose (eds), AI'94, World Scientific, Singapore, pp.84-91.

 

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