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Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5040))

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.

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Minoru Asada John C. T. Hallam Jean-Arcady Meyer Jun Tani

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© 2008 Springer-Verlag Berlin Heidelberg

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Sugita, Y., Tani, J. (2008). Acquiring a Functionally Compositional System of Goal-Directed Actions of a Simulated Agent. In: Asada, M., Hallam, J.C.T., Meyer, JA., Tani, J. (eds) From Animals to Animats 10. SAB 2008. Lecture Notes in Computer Science(), vol 5040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69134-1_33

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  • DOI: https://doi.org/10.1007/978-3-540-69134-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69133-4

  • Online ISBN: 978-3-540-69134-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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