Abstract
Human culture is fundamentally tied with language. We argue that the study of language change and diffusion in a society sheds light on its cultural patterns and social conventions. In addition, language can be viewed as a ”model problem” through which to study complex norm emergence scenarios.
In this paper we study a particular linguistically oriented complex norm emergence scenario, the Great English Vowel Shift (GEVS). We develop a model that integrates both social aspects (interaction between agents), and internal aspects (constraints on how much an agent can change). This model differs from much of the existing norm emergence models in its modeling of large, complex normative spaces.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Burke, M.A., Young, H.P.: Social norms. In: Bisin, A., Benhabib, J., Jackson, M. (eds.) The Handbook of Social Economics. North-Holland (forthcoming)
Shoham, Y., Tennenholtz, M.: On the emergence of social conventions: modeling, analysis, and simulations. Artificial Intelligence 94(1-2), 139–166 (1997)
Delgado, J.: Emergence of social conventions in complex networks. Artificial Intelligence 141(1-2), 171–185 (2002)
Hock, H.H., Joseph, B.D.: Language History, Language Change, and Language Relationship: An Introduction to Historical and Comparitive Linguistics. Mouton de Gruyter (1996)
Lerer, S.: Inventing English: A Portable History of the Language. Columbia University Press (2007)
Leith, D.: A Social History of English, 2nd edn. Routledge (1997)
Perkins, J.: A sociolinguistic glance at the great vowel shift of english. Papers in Psycholinguistics and Sociolinguistics. Working Papers in Linguistics (22) (1977)
de Boer, B.: Self-organization in vowel systems. Journal of Phonetics 28, 441–465 (2000)
Ettlinger, M.: An exemplar-based model of chain shifts. In: Proceedings of the 16th International Congress of the Phonetic Science, pp. 685–688 (2007)
Steels, L.: Emergent adaptive lexicons. In: Proceedings of the Fourth International Conference on Simulating Adaptive Behavior (1996)
Albert, R., Barabàsi, A.L.: Topology of evolving networks: Local events and universality. Physical Review Letters 85(24), 5234–5237 (2000)
Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)
Delgado, J., Pujol, J.M., Sanguesa, R.: Emergence of coordination in scale-free networks. Web Intelligence and Agent Systems 1(2) (2003)
Suchecki, K., Eguiluz, V.M., Miguel, M.S.: Voter model dynamics in complex networks: Role of dimensionality, disorder and degree distribution. ArXiv (2008); cond-mat/0504482v1
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lakkaraju, K., Swarup, S., Gasser, L. (2012). Consensus under Constraints: Modeling the Great English Vowel Shift. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds) Social Computing, Behavioral - Cultural Modeling and Prediction. SBP 2012. Lecture Notes in Computer Science, vol 7227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29047-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-29047-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29046-6
Online ISBN: 978-3-642-29047-3
eBook Packages: Computer ScienceComputer Science (R0)