Dr. Yasuaki Sakamoto

Assistant Professor

Faculty/Professor
Building: Babbio Center
Room: 632

Publications

  1. Sakamoto, Y., & Love, B.C. (2006) "Sizable Sharks Swim Swiftly: Learning Correlations through Inference in a Classroom Setting", Proceedings of the 28th Annual Conference of the Cognitive Science Society. Vancouver.

  2. Sakamoto, Y., & Nickerson, J. V. (2007) "Social behavior in a team of autonomous sensors", Proceedings of the Intelligence and Security Informatics Conference.

  3. Sakamoto, Y., Love, B.C., & Jones, M. (2006) "Tracking Variability in Learning", Proceedings of the 28th Annual Conference of the Cognitive Science Society. Vancouver.

  4. Sakamoto, Y., Sadlon, E., & Nickerson, J. V. (2008) "Bellwethers and the emergence of trends in online communities", Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC.

  5. Sakamoto, Y., & Love, B.C. (2005) "A Novel Approach to Understanding Novelty Effects in Memory", Proceedings of the 26th Annual Meeting of the Cognitive Science Society. Chicago.

  6. Sadlon, E., Sakamoto, Y., Dever, H. J., Nickerson, J. V. (2008) "Karma of Digg: Reciprocity in Online Social Networks", Proceedings of the 18th Annual Workshop on Information Technologies and Systems..

  7. Sakamoto, Y, & Love, B.C. (2003) "Category Structure and Recognition Memory", Proceedings of the 25th Annual Meeting of the Cognitive Science Society. Boston.

  8. Sakamoto, Y., Ma, J., & Nickerson, J. V. (2009) "2377 people like this article: The influence of others' decisions on yours", Proceedings of the 31th Annual Conference of the Cognitive Science Society..

  9. Sakamoto, Y., & Love, B.C. (2006) "Vancouver, Totonto, Montreal, Austin: Enhanced Oddball Memory through Differentiation, not Isolation", Psychonomic Bulletin & Review, Vol. 13, p. 474-479.

  10. Sakamoto, Y., & Love, B. C. (2009) "You only had to ask me once: Long-term retention requires direct queries during learning", Proceedings of the 31th Annual Conference of the Cognitive Science Society.

  11. Goldstone, R.L., & Sakamoto, Y. (2003) "The Transfer of Abbstract Principles Governing Complex Adaptive Systems", Cognitive Psychology, Vol. 46, p. 414-466.

  12. Sakamoto, Y., & Matsuka, T. (2007) "Incorporating forgetting in a category learning model", International Joint Conference on Neural Networks, Orlando, FL, p. 2965-2970.

  13. Matsuka, T. & Sakamoto, Y. (2007) "A Model of Concept Formation with a Flexible Representation System", Advances in Neural Networks, ISNN07, Lecture Notes on Computer Science (LNCS), Berlin: Springer-Verlag, Vol. 4491, p. 1139 -1147.

  14. Matsuka, T. & Sakamoto, Y. (2007) "Integrating a flexible representation machinery in a model of human concept learning", International Joint Conference on Neural Networks, Orlando, FL, p. 3022-3028.

  15. Sakamoto, Y., & Love, B. C. (2004) "Type/token information in category learning and recognition.", Proceedings of the 26th Annual Conference of the Cognitive Science Society. Chicago.

  16. Sakamoto, Y., & Love, B. C. (2004) "Schematic influences on category learning and recognition memory", Journal of Experimental Psychology: General, Vol. 133, p. 534-553.

  17. Matsuka, T., Sakamoto, Y., & Chouchourelou, A. (2008) "Modeling a flexible representation machinery of human concept learning", Neural Networks, Vol. 21, p. 289-302.

  18. Matsuka, T., Sakamoto, Y., Chouchourelou, A., & Nickerson, J. V. (2008) "Toward a descriptive cognitive model of human learning", Neurocomputing, Vol. 71, p. 2446-2455.

  19. Sakamoto, Y., Matsuka, T. & Love, B.C. (2004) "Dimension-wide vs. Exemplar-specific Attention in Category Learning and Recognition", Proceedings of the 6th Annual International Meeting of Cognitive Modeling. Pittsburgh.

  20. Sakamoto, Y., Jones, M., & Love, B. C. (2008) "Putting the psychology back into psychological models: Mechanistic vs. rational approaches", Memory & Cognition, Vol. 36, p. 1057-1065.

  21. Sakamoto, Y. (2006) "Acquiring New Speech Sounds by Clustering", Proceedings of the 5th International Conference of the Cognitive Science Society. Vancouver.

  22. Matsuka, T., Sakamoto, Y., Nickerson, J. V., & Chouchourelou, A. (2006) "A cognitive model of multi-objective multi-concept formation", Lecture Notes in Computer Science: Artificial Neural Networks: Artificial Neural Networks, Berlin: Springer-Verlag, Vol. 4131, p. 563-572.

  23. Yasuaki Sakamoto (2007) "A cognitive model that describes the influence of prior knowledge on concept learning", Artificial Neural Networks, ICANN07, Lecture Notes in Computer Science (LNCS), Berlin: Springer-Verlag.

Phone: 201.216.8198
Fax: 201.216.5385
Email: ysakamot@stevens.edu

Education

  • Ph.D. (2005) Psychology, The University of Texas at Austin
  • M.A. (2003) Psychology, The University of Texas at Austin
  • B.A. (1999) Psychological and Brain Sciences, Indiana University at Bloomington

Research: 

Dr. Sakamoto's research examines how people learn, represent, and use concepts, and how these concepts change over time. He is currently interested in the role of social networks in shaping cognition.

He studies the influence of network neighbors' ideas on one's thought, the way in which people learn new knowledge from others, and the impact of social influence on online judgment and decision making.

Research Projects Interests

Interests: How people learn, think, and act

 

Areas: Category learning, social learning, knowledge representation, decision making, problem solving

 

*** Looking for motivated graduate students ***

Grants/Contracts/Funds

NSF Crowdsourcing creativity (Co-PI)