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  1. 力学的情報処理を用いた自己組織的記号獲得と運動生成.中村 大介 岡田 昌史 - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:177-187.
    The symbol acquisition and manipulation abilities are one of the inherent characteristics of human beings comparing with other creatures. In this paper, based on recurrent self-organizing map and dynamics-based information processing system, we propose a dynamics based self-organizing map. This method enables designing a topological map using time sequence data, which causes recognition and generation of the robot motion. Using this method, we design the self-organizing symbol acquisition system and robot motion generation system for a humanoid robot. By implementing DBSOM (...)
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  • Episodic Indexing: A Model of Memory for Attention Events.Erik M. Altmann & Bonnie E. John - 1999 - Cognitive Science 23 (2):117-156.
    People often remember what they attend to in the world. Such memory can be cast as a kind of mental catalog or index of attended objects. To investigate how such an index is acquired and used, protocol data were collected from a programmer who scrolled to off‐screen objects from time to time as she worked. These protocol data were modeled using Soar, which constrains how the index is constructed. In the model, an index entry is an episodic trace encoded during (...)
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  • Reply to Touretzky and Pomerleau: Reconstructing Physical Symbol Systems.Alonso H. Vera & Herbert A. Simon - 1994 - Cognitive Science 18 (2):355-360.
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  • On the subsymbolic nature of a PDP architecture that uses a nonmonotonic activation function.Michael R. W. Dawson & C. Darren Piercey - 2001 - Minds and Machines 11 (2):197-218.
    PDP networks that use nonmonotonic activation functions often produce hidden unit regularities that permit the internal structure of these networks to be interpreted (Berkeley et al., 1995; McCaughan, 1997; Dawson, 1998). In particular, when the responses of hidden units to a set of patterns are graphed using jittered density plots, these plots organize themselves into a set of discrete stripes or bands. In some cases, each band is associated with a local interpretation. On the basis of these observations, Berkeley (2000) (...)
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