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Computing Science (CS)
Dr. Kayo SAKAMOTO
- Title: Scientist
- Tel: 64191285
- Email: firstname.lastname@example.org
• Cognitive Science/Psychology
• Computational modeling of human behavior, reasoning, and/or emotion
• Human inductive reasoning (how do people generalize from a few examples and apply the generalization to other stuff?)
• Ph.D, Engineering, Tokyo Institute of Technology, 2008.
• M.A., Cognitive science, Tokyo Institute of Technology, 2005.
• B.A., Psychology, Ochanomizu University, 2001.
Published Journals/ Articles:
Sakamoto, K., Xie, F., & Nakagawa, M. (2010). Syntactic dependency analysis reveals semantic concept structure underlying inductive reasoning: Towards a domain-inclusive structure that enables context-dependent knowledge selection. Cognitive Studies, 17(1), 143-168.
Sakamoto, K., Terai, A., & Nakagawa, M. (2007). Computational models of inductive reasoning using a statistical analysis of a Japanese corpus. The Journal of Cognitive Systems Research, 8, 282-299.
•Sakamoto, K., Terai, A., & Nakagawa, M. (2005). Computational models of inductive reasoning and their psychological examination: Towards an induction-based search-engine. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), CogSci05: Proceedings of the XXV Annual Conference of the Cognitive Science Society (pp. 1907-1912). NJ: Lawrence Erlbaum Associates, Inc.
•Sakamoto, K., & Nakagawa, M. (2006). The effects of negative premises on inductive reasoning: A psychological experiment and computational modeling study. In R. Son (Ed.), CogSci06: Proceedings of the 25th Annual Conference of the Cognitive Science Society (pp. 2081-2086). NJ: Lawrence Erlbaum Associates, Inc.
•Sakamoto, K., & Nakagawa, M. 2007. Risk context effects in inductive reasoning: An experimental and computational modeling study. In B. Kokinov, D. C. Richardson, T. R. Roth-Berghofer & L. Vieu (Eds.), CONTEXT2007: Proceedings of The Sixth International and Interdisciplinary Conference on Modeling and Using Context, Springer LNCS (LNAI) 4635, (pp. 425-438). Heidelberg: Springer.
•Sakamoto, K., & Nakagawa, M. (2008). A computational model of risk-context-dependent inductive reasoning based on a support vector machine. In T. Tokunaga, & A. Ortega (Eds.), LKR2008: Proceedings of the 3rd International Conference on Large-scale Knowledge Resources. Springer LNCS (LNAI) 4938, (pp.295-309). Heidelberg: Springer.
•Sakamoto, K., & Nakagawa, M. (2008). Sadder but wiser induction?: situation-personality interaction revealed by an inductive reasoning model. Proceedings of the 27th Annual Conference of the Cognitive Science Society. USA.
This page is last updated at: 02-APR-2012