Skip to main content
×
×
Home

A neural-symbolic perspective on analogy

  • Rafael V. Borges (a1) (a2), Artur S. d'Avila Garcez (a1) and Luis C. Lamb (a2)
Abstract

The target article criticises neural-symbolic systems as inadequate for analogical reasoning and proposes a model of analogy as transformation (i.e., learning). We accept the importance of learning, but we argue that, instead of conflicting, integrated reasoning and learning would model analogy much more adequately. In this new perspective, modern neural-symbolic systems become the natural candidates for modelling analogy.

Copyright
References
Hide All
D'Avila Garcez, A., Broda, K., & Gabbay, D. (2002) Neural-symbolic learning systems: Foundations and applications. Springer-Verlag.
Elman, J. L. (1990) Finding structure in time. Cognitive Science 14(2):179211.
Lamb, L., Borges, R. V. & d'Avila Garcez, A. (2007) A connectionist cognitive model for temporal synchronisation and learning. In: Proceedings of the Twenty-second AAAI Conference on Artificial Intelligence, pp. 827–32. AAAI Press.
Shastri, L. & Ajjanagadde, V. (1993) From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic bindings using temporal synchrony. Behavioral and Brain Sciences 16:417–51.
Towell, G. & Shavlik, J. (1994) Knowledge-based artificial neural networks. Artificial Intelligence 70(1–2):119–65.
Valiant, L (2003) Three problems in computer science. Journal of the ACM 50(1):9699.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed