New roles for machine learning in design

Artificial Intelligence in Engineering - Tập 8 - Trang 165-181 - 1993
Yoram Reich1, Suresh L. Konda2, Sean N. Levy1, Ira A. Monarch3, Eswaran Subrahmanian1
1Engineering Design Research Centre, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, Pennsylvania 15213, USA
2Software Engineering Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, Pennsylvania 15213, USA
3Center for Design of Educational Computing, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, Pennsylvania 15213, USA

Tài liệu tham khảo

Subrahmanian, 1987, Validation of expert systems: Two perspectives Wilkes, 1992, Artificial intelligence as the year 2000 approaches, Communications of the ACM, 35, 17, 10.1145/135226.135237 Konda, 1992, Shared memory in design: A unifying theme for research and practice, Research in Engineering Design, 4, 23, 10.1007/BF02032390 Bucciarelli, 1984, Reflective practice in engineering design, Design Studies, 5, 185, 10.1016/0142-694X(84)90012-7 Bucciarelli, 1988, An ethnographic perspective on engineering design, Design Studies, 9, 159, 10.1016/0142-694X(88)90045-2 Reich, 1992, Participation and design: An extended view, 63 Strauss, 1937 Hales, 1987, Analysis of the enginerring design process in an industrial context 1992 Monarch, 1990, Artificial intelligence and interactive learning: A decision support exemplar Piela, 1992, Integrating the user into research in engineering design systems, Research in Engineering Design, 3, 211, 10.1007/BF01580843 Kaminetzky, 1991 Magued, 1989, Evolution of design standards and recorded failures of guyed towers in Canada, The Canadian Journal of Civil Engineering, 16, 725, 10.1139/l89-107 Petroski, 1992 Buckland, 1990, The inherent beauty of cable-stayed bridges, 253 Haussler, 1988, Quantifying inductive bias: AI learning algorithms and Valiant's learning framework, Artificial Intelligence, 36, 177, 10.1016/0004-3702(88)90002-1 Utgoff, 1986 Leifer, 1991, Instrumenting the design process Subrahmanian, 1991, Towards a shared information environment for engineering design Reich, 1993, The development of Bridge: A methodological study of research on the use of machine learning in design, Artificial Intelligence in Engineering, 8, 165, 10.1016/0954-1810(93)90003-X Mingers, 1989, An empirical comparison of selection measures for decision-tree induction, Machine Learning, 3, 319, 10.1007/BF00116837 Mingers, 1989, An empirical comparison of pruning methods for decision-tree induction, Machine Learning, 4, 227, 10.1023/A:1022604100933 Reich, Y. The value of design knowledge. Knowledge Acquisition, (accepted for publication) Doyle, 1988, On rationality and learning Mitchell, 1980, The need for biases in learning generalizations Buntine, 1988, Interactive induction, 10.1109/CAIA.1988.196123 Newell, 1982, The knowledge level, Artificial Intelligence, 18, 87, 10.1016/0004-3702(82)90012-1 Arciszewski, 1987, A methodology of design knowledge acquisition for use in learning expert systems, International Journal of Man-Machine Studies, 27, 23, 10.1016/S0020-7373(87)80042-1 Reich, 1991, The formation and use of abstract concepts in design, 323 Lu, 1987, A machine learning approach to the automatic synthesis of mechanistic knowledge for engineering decision-making, 1, 109 Reich, Y. & Fenves, S.J. Inductive learning of synthesis knowledge. International Journal of Expert Systems: Research and Applications (in press) Reich, 1991, Design knowledge acquisition: Task analysis and a partial implementation, Knowledge Acquisition, 3, 237, 10.1016/1042-8143(91)90006-9 1991 Salzberg, 1985, Heuristics for inductive learning, 603 Stepp, 1988, Towards intelligent machine learning algorithms, 333 Reich, 1993, Macro and micro perspectives of multistrategy learning, Vol. IV Reich, 1991, Building and improving design systems: a machine learning approach Ferguson, 1992 Kerr, 1987, Why we need hands-on engineering education, 36 Le, 1981, The paradoxes of the contemporary engineer, European Journal of Engineering Education, 6, 105, 10.1080/03043798108547800 Subrahamanian, 1993, Equations aren't enough: Informal modelling in design, Artificial Intelligence in Engineering Design, Analysis and Manufacturing, Vol. 7 Cross, 1981, Design methods and learning methods, 281 Eastman, 1970, On the analysis of intuitive design processes, 21 1988 Gaines, 1988, Positive feedback processes underlying the formation of expertise, IEEE Transactions on Systems, Man, and Cybernetics, 18, 1016, 10.1109/21.23101 Bermingham, 1991, Why product development at Sony is driven by the engineering and manufacturing groups rather than marketing Reich, 1991, Learning in design: An EDRC (US) perspective, 303 Hyafil, 1976, Constructing optimal binary decision trees is NP-complete, Information Processing Letters, 5, 15, 10.1016/0020-0190(76)90095-8 Levy, 1993, An overview of the n-dim environment Ungar, 1991, SELF: the power of simplicity, LISP and Symbolic Computation, 4, 187, 10.1007/BF01806105 Meyer, 1993, Structural design of tall buildings, knowledge acquisition study report Conklin, 1988, gIBIS: A hypertext tool for exploratory policy discussion, ACM Transaction on Office Information Systems, 6, 303, 10.1145/58566.59297 Morik, 1991, Balanced cooperative modeling, 65 Subrahmanian, 1993, Computational support for shared memory in design Gaines, 1989, Comparing the conceptual systems of experts, 633 Barki, 1989, Rethinking the concept of user involvement, MIS Quarterly, 13, 53, 10.2307/248700 Baronas, 1988, Restoring a sense of control during implementation: How user involvement leads to system acceptance, MIS Quarterly, 12, 111, 10.2307/248811 Tait, 1988, The effect of user involvement on system success: A contingency approach, MIS Quarterly, 12, 91, 10.2307/248809 Salaway, 1987, An organizational learning approach to information systems development, MIS Quarterly, 11, 245, 10.2307/249370