Abstract
Categorization dynamics as the clustering of words in word relation is studied by a constructive approach which is suited to inquire evolutionary linguistics with dynamical view on language. Word meaning is represented by relationship among words. Tthe relationship should be derived from usage of language. Being founded on this usage-based view, we define an algorithm to evaluate word relationship. Using the algorithm, cluster structure and its dynamics of words are shown in a model with communicating artificial agents. The relevance of clustering with linguistic categorization is discussed.
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© 1999 Springer-Verlag Berlin Heidelberg
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Hashimoto, T. (1999). Modeling Categorization Dynamics through Conversation by Constructive Approach. In: Floreano, D., Nicoud, JD., Mondada, F. (eds) Advances in Artificial Life. ECAL 1999. Lecture Notes in Computer Science(), vol 1674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48304-7_96
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DOI: https://doi.org/10.1007/3-540-48304-7_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66452-9
Online ISBN: 978-3-540-48304-5
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