| S. Bhatta and A. Goel. Discovery of physical principles from design experiences. International Journal of Artificial Intelligence in Engineering Design and Manufacturing, 8(2), Spring 1994. Special issue on Machine Learning in Design. |
....a key aspect of the creative thought process once completed, one has a clearer idea of what is being created and can proceed to drafting or CAD activity. Previous research in areas such as conceptual design of graphical user interfaces (GUIs) 3] and cased based reasoning and case based design [8, 6, 2, 1] are relevant to our efforts. For example, much of the work in case based reasoning has focused on developing symbolic representations for engineering knowledge about function and behavior, as well as algorithms for indexing, retrieving, and adapting design cases stored with these ....
S. Bhatta and A. Goel. Discovery of physical principles from design experiences. International Journal of Artificial Intelligence in Engineering Design and Manufacturing, 8(2), Spring 1994. Special issue on Machine Learning in Design.
....of the design at different times, the system customizes its learning such that the learned knowledge matches the use that the designer intends to associate with this knowledge. The IDEAL system uses generalization and abstraction to support design analogy in functionto structure mapping problems (Bhatta and Goel 1994). Whenever a new design is in progress, the system retrieves cases which a similar behavior function (BF) model. IDEAL performs abstractions and generalizations on these cases and then uses analogy to apply the newly generated knowledge in the current problem. Non hierarchical concept learning in ....
S.R. Bhatta and A.K. Goel. "Discovery of Physical Principles From Design Experiences, " Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, special issue on Machine Learning in Design, edited by M.L. Maher, D.C. Brown and A.H.B. Duffy, 2 (1994): 113-123.
....regularities in experiences determine how abstract a learned generic mechanism can be. Elsewhere we show how our computational model also accounts for the acquisition of other types of abstract concepts, such as mental models of physical principles, physical processes, and device prototypes (Bhatta Goel, 1992). Finally, from the computational model we can predict that if they have the models of specific devices, human designers can easily learn the models of generic mechanisms from their design experiences and use the learned mechanisms for making cross domain analogies. Acknowledgments. We thank ....
Bhatta, S. & Goel, A. 1992. Discovery of Physical Principles from Design Experiences. In J.M.
....principle or process, and GTM. Corresponding to each type of mental model learned, an index learning task is also created. We have earlier shown that SBF models of specific devices (associated with specific design cases) provide the content and constraints for learning PDMs and physical principle [Bhatta and Goel, 1992a] In the same vein, we propose that SBF models do the same for learning GTMs. However, we admit that other methods strategies such as similarity based learning (SBL) may also be applied in integration with our model based approach to each of these learning tasks. In fact, our method integrates ....
S. Bhatta and A. Goel. Discovery of Physical Principles from Design Experiences. In J. M. Zytkow, editor, Proceedings of the ML-92 Workshop on Machine Discovery, pages 77--81, Aberdeen, Scotland, UK, July 1992.
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S. Bhatta and A. Goel. Discovery of physical principles from design experiences. International Journal of Artificial Intelligence in Engineering Design and Manufacturing, 8(2), Spring 1994. Special issue on Machine Learning in Design.
No context found.
S.R. Bhatta, A.K. Goel. "Discovery of Physical Principles from design Experience", AI EDAM, 2, May, 1994.
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