A Theoretical Study on the Knowledge-Based System for Design

디자인을 위한 지식기반시스템의 이론적 고찰

  • Published : 1996.04.01

Abstract

Artificial Intelligence is generally concerned with tasks whose execution appears to involve some intelligence if done by humans, and knowledge-based system ( in other word, expert system) is the research about the specific domain. This concept also can be applied to interior design field. So the purpose of this study is in reconstructing the accomplishment of artificial Intelligence and knowledge engineering, searching basic theories and cased to knowledge engineering , searching basic theories and cases to formulate knowledge -based design system, and testing the posibilities how the design information can be dealt in computer system. Given that recognition , two major problems must be solved before knowledge-based CAD systems could be come practical : Firstly , identification of the interior of designers use .Secondly , representing this knowledge in a computationally effective manner. I had discussed the basic concepts on which to base a knowledge- based design model, knowledge representation schemes, and problem solving, I could find the possibility which the knowledge-based system can be applied to the interior design according to this study. But there are non-deductive, often irrational and now easily computerized design process in interior design. Those are problems which are relevant to the machine learning and the creativity in design. So there should be a lot of research about the machine learning and the creatively in design in order to construct successfully intelligent knowledge-based design system.

Keywords

References

  1. 인공지능이란 무엇인가 김현숙
  2. 지식공학 황종선;김현숙(공저)
  3. Knowledge-Based Computer Aided Architectural Design G. Carrara(ed.);Y.E. Kaly(ed.)
  4. Knowledge-Based Design Systems Coyne, R. D.;M. A. Rosenman;A. D. Radford;M. Balachandran;J. S. Gero
  5. Comm. of the ACM Rule-Based System Hayes-Roth, F.
  6. Machine Intelligence v.8 An Overivew of Production Systems Davis, R.;J. King
  7. Artificial Intelligence in Engineering:Design A Generative Expert System for the Design of Building Layout-Version 2 Flemming, U.;R. Coyne;T.Glavin;M. Rychener;J. S. Gero(ed.)
  8. Knowledge-Based Computer-Aided Architectural Design Artificial Intelligence and Design : a Mid-Term Review Flemming, U.
  9. Report EDRC48-92, Carnegie Mellon University Computational Models for Form-Function Synthesis in Engineering Design Flemming, U.;J. Adams;R. Woodbury
  10. Artificial Intelligence in Engineering Design Engineering Design Synthesis: A Domain Independent Representation Maher, M. L.
  11. Building and Environment Knowledge Representation and Acquisition in the LOOS System Flemming, U.
  12. AI Magazine v.12 no.2 Improving Human Decision Making through Case-Based Decision Aiding Kolodner, J. L.
  13. The System Architect's Workbench Algorithmic and Register-Transfer Level Synthesis Thomas, D. E.;R. L. Blackburn
  14. Technical Report, CADRU-05-91, CAD Research Center, College of Architecture and Environmental Design ICADS Working Model Version 2 and Future Directions Pohl, J.;L. myers;J. Chapman;J. Snyder;H. Chauvet;D. Johnson
  15. AI Magazine v.11 no.4 Design Prototypes: A Knowledge Representation Schema for Design Gero, J. S.
  16. Artificial Intelligence in Design '91 Learning in Design:An EDRC (USA) Perspective Reich, Y.;R. Coyne;A. Modi;D. Steier;E. Subrahmanian;J. S. Gero(ed.)
  17. CAAD Future '91 What's in a Case: The Use of Case Bases, Knowledge Base, and Databases in Design Rosenman, M. A.;J. S. Gero;R. E. Oxman;G. N. Schmitt(ed.)
  18. Artificial Intelligence in Design '92 Using Network-Based Prototypes to Support Creative Design by Analogy and Mutation Zhao, F.;M. L. Maher;J. S. Gero(ed.)
  19. Artificial Intelligence in Engineering Design Innovative Design of Mechanical Structures from First Principles Cagan, J.;A. M. Agogino
  20. Modeling Creativity and Knowledge-Based Creative Design A Computational View of Creativity Mitchell, W. J.;J. S. Gero(ed.);M. L. Maher(ed.)