Abstract
This paper investigates both the role of fine-grained historical cases in developing computational models of techno-scientific thinking and the impact of such models for supporting information search and further inventions and discoveries. In particular, we investigate Alexander Graham Bell’s invention of the telephone and we propose a computational model to explain its essential aspects. We further derive lessons about how such model can be used to build human-computer interaction systems that augment the intelligence of users involved in information search. We conclude that historical data can be used to advance cognitive and computational theories of techno-scientific thinking and to build better human-information systems.
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References
Furuta, R. and Papakonstantinou, Y. (1999). Information retrieval and data mining in the world-wide web, internet and wireless era. 1999 NSF Information and Data Management Workshop: Research Agenda for the 21st Century.
Gorman, M.E. (1998). Transforming nature: ethics, invention and discovery. Kluwer Academic Publishers, Netherlands.
Gruber, H. (1974). Darwin on Man: A Psychological Study of Scientific Creativity. University of Chicago Press.
Heflin, J. and Hendler, J. (2001). A Portrait of the Semantic Web in Action. IEEE Intelligent Systems, March/April 2001.
Jaczynski, M. and Trousse, B. (1998). WWW assisted browsing by reusing past navigations of a group of users. In Cunningham, P.; Smyth, B.; and Keane, M., eds., Proceedings of the Fourth European Workshop on Case-basedReasoning, 160–171. Berlin: Springer Verlag.
Kolodner, J. (1993). Case-Based Reasoning. Morgan Kaufmann.
Leake, D.B., Bauer, T., Maguitman, A. and Wilson, D.C. (2000). Capture, Storage and Reuse of Lessons about Information Resources: Supporting Task-based Information Search. In AAAI-2000 Workshop on Intelligent Lessons Learned Systems.
Rhodes, B.J. and Maes, P. (2000). Just-in-time Information Retrieval Agents. In IBM Systems Journal 39 (3&4)
Schun, C.D. and Dunbar, K. (1996). Priming, analogy, and awareness in complex reasoning. Memory & Cognition 1996, 24(3), 271–284
Simina, M. (1999). Enterprise-directed reasoning: Opportunism and deliberation in creative reasoning. Ph.D. Thesis, Georgia Institute of Technology, College of Computing.
Simina, M., Kolodner, J., Ram, A. and Gorman, M. (1998). Opportunistic Enterprises in Invention. In Proceedings of the Twentieth Conference of the Cognitive Science Society, LEA.
Simon, H. 1989. The Scientist as Problem Solver. In Klahr, D. and Kotovsky, K., eds., Complex Information Processing, Lawrence Erlbaum Associates.
US v. Bell, A.G. 1908.The Deposition of Alexander Graham Bell. American Bell Telephone Company, Boston.
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Simina, M., Gorman, M.E., Kolodner, J.L. (2001). Computational Lessons from a Cognitive Study of Invention. In: Jantke, K.P., Shinohara, A. (eds) Discovery Science. DS 2001. Lecture Notes in Computer Science(), vol 2226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45650-3_40
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DOI: https://doi.org/10.1007/3-540-45650-3_40
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