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  The acquisition of new categories through grounded symbols: An extended connectionist model (2003) [3 citations — 2 self]

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by Alberto Greco, Thomas Riga, Angelo Cangelosi
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http://www.tech.plym.ac.uk/soc/staff/angelo/papers/greco-riga-cangelosi_iconip03.pdf
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Abstract:

Abstract. Solutions to the symbol grounding problem, in psychologically plausible cognitive models, have been based on hybrid connectionist/symbolic architectures, on robotic approaches and on connectionist only systems. This paper presents new simulations on the use of neural network architectures for the grounding of symbols on categories. In particular, the connectivity patterns between layers of the networks will be manipulated to scale up the performance of current connectionist models for the acquisition of higher-order categories via grounding transfer. 1 The Grounding of Symbols in Categories Cognitive models dealing with linguistic and symbol-manipulation tasks can use symbols that are either grounded or ungrounded (i.e. self-referential). Grounded symbols are those inherently significant to the cognitive system, such as an agent, and not mediated by the interpretation of an external user. Self-referential symbolic systems are those that use symbols that have no grounding in any other module of the cognitive agent. It has been claimed [5] that the cognitive relevance and psychological

Citations

521 The Symbol Grounding Problem – Harnad - 1990
34 From robotic toil to symbolic theft: Grounding transfer from entry-level to higher-level categories – Cangelosi, Greco, et al. - 2000
30 The adaptive advantage of symbolic Theft over sensorimotor Toil: Grounding language in perceptual categories – Cangelosi, Harnad - 2000
26 Learned categorical perception in neural nets: Implications for symbol grounding – Harnad, Hanson, et al. - 1995
20 Grounding symbols in the analog world with neural nets – Harnad - 1993
12 Grounding symbols through evolutionary language games – Steels - 2001
2 Rethinking Innateness: A Connectionist Perspective on Development – JL, EA, et al. - 1996
1 Encoding shape and spatial relations: The role of receptive field size in coordinating complementary representations – RA, SM - 1994
1 MF, Strandsry O – Plunkett, Sinha, et al. - 1992
1 Cangelosi A – EJ - 1999