Skip to main content

Learning Biases for the Evolution of Linguistic Structure: An Associative Network Model

  • Conference paper
Advances in Artificial Life (ECAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

Included in the following conference series:

Abstract

Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which explains the compositional structure of language as an adaptation in response to pressures arising from the poverty of the stimulus available to language learners and the biases of language learners themselves.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brighton, H.: Experiments in iterated instance-based learning. Technical report, Language Evolution and Computation Research Unit (2000)

    Google Scholar 

  2. Brighton, H.: Compositional syntax from cultural transmission. Artificial Life 8(1), 25–54 (2002)

    Article  Google Scholar 

  3. Kirby, S.: Syntax out of learning: the cultural evolution of structured communication in a population of induction algorithms. In: Floreano, D., Nicoud, J.D., Mondada, F. (eds.) Advances in Artificial Life: Proceedings of the 5th European Conference on Artificial Life. Springer, Berlin (1999)

    Google Scholar 

  4. Kirby, S.: Natural Language from Artificial Life. Artificial Life 8(2), 185–215 (2002)

    Article  Google Scholar 

  5. Smith, K.: Compositionality from culture: the role of environment structure and learning bias. Technical report, Language Evolution and Computation Research Unit (2002)

    Google Scholar 

  6. Smith, K.: The cultural evolution of communication in a population of neural networks. Connection Science 14(1), 65–84 (2002)

    Article  Google Scholar 

  7. Smith, K.: Learning biases and language evolution. In: Proceedings of the 15th EuropeanSummer School on Logic, Language and Information (forthcoming)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smith, K. (2003). Learning Biases for the Evolution of Linguistic Structure: An Associative Network Model. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39432-7_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics