Abstract
We introduce the “baby designer enterprise” with the objective of learning grounded symbols and rules based on experience, in order to construct the knowledge underlying design systems. In this approach, conceptual categories emerge as abstractions on patterns arising from functional constraints. Eventually, through interaction with language users, these concepts get names, and become true symbols. We demonstrate this approach for symbols related to insertion tasks and tightness of fit. We show how a functional distinction - whether the fit is tight or loose - can be learned in terms of the diameters of the peg and the hole. Further, we observe that the same category distinction can be profiled differently - e.g. as a state (clearance), or as a process (the act of insertion). By having subjects describe their experience in unconstrained speech, and associating words with the known categories for tight and loose, the frequencies of words associated with these can be discriminated. The resulting linguistic labels learned show that for the state profile, the words “tight” and “loose” emerge, and for the action, we get “tight” and “easy”. Once an initial grounded symbol is available, it is argued that knowledge-based systems based on such symbols can be sanctioned by its semantics, as well as its syntax, leading to more flexible usage.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ahmed, S., Wallace, K.M., Blessing, L.T.: Understanding the differences between how novice and experienced designers approach design tasks. Research in Engineering Design 14(1), 1–11 (2003)
Barsalou, L.: Perceptual symbol systems. Behavioral and Brain Sciences 22, 577–660 (1999)
Bishop, C.: Pattern recognition and machine learning. Springer, Heidelberg (2006)
Bloom, P.: How children learn the meanings of words. MIT Press, Cambridge (2000)
Bohm, M.R., Stone, R.B., Szykman, S.: Enhancing virtual product representations for advanced design repository systems. Journal of Computing and Information Science in Engineering 5(4), 360–372 (2005)
Campbell, M.I., Cagan, J., Kotovsky, K.: Agent-based synthesis of electro-mechanical design configurations. Journal of Mechanical Design 122(1), 61–69 (2000)
Chakrabarti, A., Sarkar, P., Leelavathamma, B., Nataraju, B.S.A.: Functional representation for aiding biomimetic and artificial inspiration of new ideas. AIEDAM 19(2), 113–132 (2005)
Deb, K., Srinivasan, A.: Innovization: innovative design principles through optimization. Tech. Rep. Kangal, 2005007. IIT Kanpur (2007)
Ericsson, K.: Expertise. MIT Encyclopedia of Cognitive Science (1999)
Evans, V., Green, M.: Cognitive Linguistics: An Introduction. Edinburgh University Press (2006)
Gero, J.S., Fujii, H.A.: Computational framework for concept formation for a situated design agent. Knowledge-Based Systems 13(6), 361–368 (2000)
Gorti, S.R., Sriram, R.D.: From symbol to form: a framework for conceptual design. Computer-Aided Design 28(11), 853–870 (1996)
Gross, M.D.: Design as Exploring Constraints. PhD thesis, Department of Architecture. MIT, Cambridge (1986)
Guha, P., Mukerjee, A.: Language Label Learning for Visual Concepts. Discovered from Video Sequences. Springer, Heidelberg (2008)
Jurafsky, D., Martin, J., Kehler, A.: Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. MIT Press, Cambridge (2000)
Keffy. Wiktionary: Frequency lists for TV and movie scripts (2006), http://en.wiktionary.org/wiki/Wiktionary:Frequency_lists (accessed February 10, 2010)
Kurtoglu, T., Campbell, M., Gonzales, J., Bryant, C., Stone, R.: Capturing empirically derived design knowledge for creating conceptual design configurations. In: Proceedings of the ASME Design Engineering Technical Conferences And Computers In Engineering Conference. DETC2005-84405, Long Beach, CA (2005)
Langacker, R.: An introduction to cognitive grammar. Cognitive science 10(1), 1–40
Langacker, R.: Cognitive Grammar: A Basic Introduction. Oxford University Press, USA (2008)
Lawson, B.: Schemata, gambits and precedent: some factors in design expertise. Design Studies: Expertise in Design 25(5), 443–457 (2004)
Martinetz, T.M., Berkshire, S.G., Schulten, K.J.: Neural gas network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks 4, 558–569 (1993)
Moss, J., Cagan, J., Kotovsky, K.: Learning from design experience in an agent-based design system. Research in Engineering Design 15(2), 77–92 (2004)
Mukerjee, A., Dabbeeru, M.M.: The birth of symbols in design. In: Proceedings of DETC 2009, ASME Design Engineering Technical Conferences (2009)
Nanda, J., Thevenot, H., Simpson, T., Stone, R., Bohm, M., Shooter, S.: Product family design knowledge representation, aggregation, reuse, and analysis. AIEDAM 21(02), 173–192 (2007)
Park, S., Gero, J.: Qualitative representation and reasoning about shapes. In: Visual and Spatial Reasoning in Design, Sydney, Australia, vol. 99, pp. 55–68 (1999)
Sarkar, S., Dong, A., Gero, J.S.: Design optimization problem reformulation using singular value decomposition. Journal of Mechanical Design 131(8), 081006–1–10 (2009)
Satish, G., Mukerjee, A.: Acquiring linguistic argument structure from multimodal input using attentive focus. In: 7th IEEE International Conference on Development and Learning, ICDL 2008, pp. 43–48 (2008)
Schoen, D.A.: Designing: Rules, types and words. Design studies 9(3), 181–190 (1988)
Steels, L.: Evolving grounded communication for robots. Trends in Cognitive Science 7(7), 308–312 (2003)
Yaner, P., Goel, A.: Analogical recognition of shape and structure in design drawings. AIEDAM 22(2), 117–128 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Netherlands
About this paper
Cite this paper
Dabbeeru, M.M., Mukerjee, A. (2011). Learning Concepts and Language for a Baby Designer. In: Gero, J.S. (eds) Design Computing and Cognition ’10. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0510-4_24
Download citation
DOI: https://doi.org/10.1007/978-94-007-0510-4_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-0509-8
Online ISBN: 978-94-007-0510-4
eBook Packages: EngineeringEngineering (R0)