Institute of High Performance Computing

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People: Vibrant & Dynamic Culture

People

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Computing Science (CS)

Dr. Kayo SAKAMOTO

Dr. Kayo SAKAMOTO


Research Interests:

    • 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?)

Qualifications:

    • 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:

Journals

    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.

Conferences

    •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