教員要覧

松香敏彦

松香敏彦 (マツカトシヒコ)

略歴

2002年 Ph.D., Columbia University

研究内容

記述的認知モデル・人工知能の開発。特に、人間の高次認知情報処理過程を、行動実験を用いて研究し、そのデータと計算モデルを用いたシミュレーションによって、認知処理についての学説・仮説の検証をおこなっている。理想は、「人並みの過ちをおかす」人工知能/アルゴリズムをつくることである。

主要な研究業績

  • Matsuka, T. Sakamoto, Y, & Chouchourelou, A. (2008). Modeling a flexible representation machinery of human concept learning. Neural Networks.
  • Hanson, S. J., Hanson, C., Halchenko, Y., Matsuka, T., & Zaimi, A. (2007). Bottom-up and top-down brain functional connectivity underlyings comprehension of every day visual action. Brain Structure and Functions, 212, 231-244.
  • Matsuka, T. & Sakamoto, Y. (2007). A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning. In Artificial Neural Networks, Lecture Notes on Computer Science (LNCS) Vol. 4668, (pp. 912-921). Berlin: Springer-Verlag.
  • Matsuka, T. & Sakamoto, Y. (2007). A Model of Concept Formation with a Flexible Representation System. Advances in Neural Networks, Lecture Notes on Computer Science (LNCS) Vol. 4491 Part I., (pp. 1139 -1147).Berlin: Springer-Verlag.
  • Matsuka, T., Sakamoto, Y., Nickerson, J. V., & Chouchourelou, A. (2006). A Cognitive Model of Multi-Objective Multi-Concept Formation. ArtificialNeural Networks, Lecture Notes on Computer Science (LNCS) Vol. 4131,(pp. 563 - 572). Berlin: Springer-Verlag.
  • Chouchourelou, A., Matsuka, T, Harber, K., & Shiffrar, M. (2006). The visual analysis of Emotional Actions. Social Neuroscience, 1, 63-74.
  • Matsuka, T. (2005). Simple, individually unique, and context-dependent learning methods for models of human category learning. Behavior Research Methods, 37, 240–255.
  • Hanson, S. J., Matsuka, T. , & Haxby, J. V. (2004). Combinatoric codes in ventral medial temporal lobes for objects: Haxby revisited: Is there a "face" area? NeuroImage, 23 . 156-166.
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