Acquiring a functionally compositional system of goal-directed actions of a simulated agent

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Abstract

We propose a sub-symbolic connectionist model in which a functionally compositional system self-organizes by learning a provided set of goal-directed actions. This approach is compatible with an idea taken from usage-based accounts of the developmental learning of language, especially one theory of infants' acquisition process of symbols. The presented model potentially explains a possible continuous process underlying the transitions from rote knowledge to systematized knowledge by drawing an analogy to the formation process of a geometric regular arrangement of points. Based on the experimental results, the essential underlying process is discussed. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Sugita, Y., & Tani, J. (2008). Acquiring a functionally compositional system of goal-directed actions of a simulated agent. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5040 LNAI, pp. 331–341). https://doi.org/10.1007/978-3-540-69134-1_33

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