The acquisition of new categories through grounded symbols: an extended connectionist model

  • Authors:
  • Alberto Greco;Thomas Riga;Angelo Cangelosi

  • Affiliations:
  • Department of Anthropological Sciences, University of Genoa, Genoa, Italy;Department of Anthropological Sciences, University of Genoa, Genoa, Italy;Centre for Neural and Adaptive Systems, School of Computing, University of Plymouth, Plymouth, UK

  • Venue:
  • ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
  • Year:
  • 2003

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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.