Abstract
This paper presents the Cognitive Symbol Grounding framework for modeling language in neural networks and adaptive agent simulations. This approach is characterized by the hypothesis that symbols are directly grounded into the agents’ own categorical representations, whilst at the same time having syntactic relationships with other symbols. The mechanism of grounding transfer is also introduced. This is the process by which the grounding of basic words, acquired via direct sensorimotor experience, is transferred to higher-order words via linguistic descriptions. Various simulations are briefly reviewed to demonstrate the use of the Cognitive Symbol Grounding approach.
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© 2005 Springer-Verlag Berlin Heidelberg
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Cangelosi, A. (2005). Symbol Grounding in Connectionist and Adaptive Agent Models. In: Cooper, S.B., Löwe, B., Torenvliet, L. (eds) New Computational Paradigms. CiE 2005. Lecture Notes in Computer Science, vol 3526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494645_10
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DOI: https://doi.org/10.1007/11494645_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26179-7
Online ISBN: 978-3-540-32266-5
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