Skip to main content

On the Role of Intrinsic Rewards in Communication

  • Conference paper
  • First Online:
Advances in Cognitive Neurodynamics (V)

Part of the book series: Advances in Cognitive Neurodynamics ((ICCN))

  • 1533 Accesses

Abstract

Though there exists a multitude of theories on communication, it has been proved difficult to capture the notion of sharing information and meaning in a systematic framework. Here, we explore to what extent the field of cognitive neurodynamics can contribute to the understanding of human communication by focusing on the reward structure in order to differentiate different types of communication and their associated neural and behavioral mechanisms. We argue that particularly the concept of intrinsic rewards provides a promising, but challenging avenue for communication research.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Craig, R.T.: Communication theory as a field. Commun. Theory 2, 119–161 (1999)

    Article  Google Scholar 

  2. Ito, M., Doya, K.: Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit. Curr. Opin. Neurobiol. 2, 368–373 (2011)

    Article  Google Scholar 

  3. Daw, N.D., Dayan, P.: The algorithmic anatomy of model-based evaluation. Philos. Trans. R. Soc. B 369, 20130478 (2014)

    Article  Google Scholar 

  4. Clark, A.: Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav. Brain Sci. 36, 181–253 (2013)

    Article  PubMed  Google Scholar 

  5. Koster-Hale, J., Saxe, R.: Theory of mind: a neural prediction problem. Neuron 79, 836–848 (2013)

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  6. Bromberg-Martin, E.S., Hikosaka, O.: Midbrain dopamine neurons signal preference for advance information about upcoming rewards. Neuron 63, 119–126 (2009)

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  7. Bromberg-Martin, E.S., Hikosaka, O.: Lateral habenula neurons signal errors in the prediction of reward information. Nat. Neurosci. 14, 1209–1216 (2011)

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  8. Berlyne, D.E.: Curiosity and exploration. Science 153, 25–33 (1966)

    Article  PubMed  CAS  Google Scholar 

  9. Lauwereyns, J., Takikawa, Y., Kawagoe, R., Kobayashi, S., Koizumi, M., Coe, B., Sakagami, M., Hikosaka, O.: Feature-based anticipation of cues that predict reward in monkey caudate nucleus. Neuron 33, 463–473 (2002)

    Article  PubMed  CAS  Google Scholar 

  10. Blaisdell, A.P., Sawa, K., Leising, K.J., Waldmann, M.R.: Causal reasoning in rats. Science 311, 1020–1022 (2006)

    Article  PubMed  CAS  Google Scholar 

  11. Kepecs, A., Uchida, N., Zarwala, H.A., Mainen, Z.F.: Neural correlates, computation and behavioural impact of decision confidence. Nature 455, 227–231 (2008)

    Article  PubMed  CAS  Google Scholar 

  12. Uchibe, E., Doya, K.: Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. Neural Netw. 21, 1447–1455 (2008)

    Article  PubMed  Google Scholar 

  13. Lieberman, P.: On the nature and evolution of the neural bases of human language. Am. J. Phys. Anthropol. 35, 36–62 (2002)

    Article  PubMed  Google Scholar 

  14. Kuhl, P.K.: Brain mechanisms in early language acquisition. Neuron 67, 713–727 (2010)

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  15. Rippolles, P., Marco-Pallares, J., Hielscher, U., Mestres-Misse, A., Tempelmann, C., Heinze, H.-J., Rodriguez-Fornells, A., Noesselt, T.: The role of reward in word learning and its implications for language acquisition. Curr. Biol. 24, 2606–2611 (2014)

    Article  Google Scholar 

  16. Tamir, D.I., Mitchell, J.P.: Disclosing information about the self is intrinsically rewarding. Proc. Natl. Acad. Sci. USA 21, 8038–8043 (2012)

    Article  Google Scholar 

  17. Wagner, M., McCurdy, K.: Poetic rhyme reflects cross-linguistic differences in information structure. Cognition 117, 166–175 (2010)

    Article  PubMed  Google Scholar 

  18. Lauwereyns, S.S.: Hedges in Japanese conversation: the influence of age, sex and style. Lang. Var. Change 14, 239–269 (2002)

    Article  Google Scholar 

Download references

Acknowledgments

This work is made possible in part thanks to a Grant-in-Aid for Scientific Research: Encouragement of Scientists, awarded to Dr. S.S. Lauwereyns.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Lauwereyns .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Lauwereyns, J., Lauwereyns, S.S. (2016). On the Role of Intrinsic Rewards in Communication. In: Wang, R., Pan, X. (eds) Advances in Cognitive Neurodynamics (V). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-0207-6_33

Download citation

Publish with us

Policies and ethics