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AI & SOCIETY

pp 1–14 | Cite as

The change of signaling conventions in social networks

  • Roland MühlenberndEmail author
Original Article
  • 871 Downloads

Abstract

To depict the mechanisms that have enabled the emergence of semantic conventions, philosophers and researchers particularly access a game-theoretic model: the signaling game. In this article I argue that this model is also quite appropriate to analyze not only the emergence of a semantic convention, but also its change. I delineate how the application of signaling games helps to reproduce and depict mechanisms of semantic change. For that purpose I present a model that combines a signaling game with innovative reinforcement learning; in simulation runs I conduct this game repeatedly within a multi-agent setup, where agents are arranged in social network structures. The results of these runs are contrasted with an attested theory from sociolinguistics: the ‘weak tie’ theory. Analyses of the produced data target a deeper understanding of the role of environmental variables for the promotion of (1) semantic change or (2) solidity of semantic conventions.

Keywords

Signaling game Reinforcement learning Multi-agent account Social network structure Mechanisms of language change 

References

  1. Airiau S, Sen S, Villatoro D (2014) Emergence of conventions through social learning: heterogeneous learners in complex networks. Auton Agents Multi-Agent Syst 28(5):779–804CrossRefGoogle Scholar
  2. Alexander J, Skyrms B, Zabell S (2012) Inventing new signals. Dyn Games Appl 2(1):129–145MathSciNetCrossRefzbMATHGoogle Scholar
  3. Axelrod R (1984) The evolution of cooperation. Basic Books, New YorkzbMATHGoogle Scholar
  4. Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512MathSciNetCrossRefzbMATHGoogle Scholar
  5. Barrett JA (2009) The evolution of coding in signaling games. Theory Decis 67:223–237MathSciNetCrossRefGoogle Scholar
  6. Barrett JA, Zollman KJS (2009) The role of forgetting in the evolution and learning of language. J Exp Theor Artif Intell 21(4):293–309CrossRefzbMATHGoogle Scholar
  7. Brown G (1951) Iterative solution of games by fictitious play. In: Koopmans T (ed) Activity analysis of production and allocation. Wiley, New York, p 375Google Scholar
  8. Bush R, Mosteller F (1955) Stochastic models of learning. Wiley, New YorkCrossRefzbMATHGoogle Scholar
  9. Centola D, Baronchelli A (2015) The spontaneous emergence of conventions: an experimental study of cultural evolution. Proc Natl Acad Sci 112(7):1989–1994CrossRefGoogle Scholar
  10. Crawford VP, Sobel J (1982) Strategic information transmission. Econometrica 50:1431–1451MathSciNetCrossRefzbMATHGoogle Scholar
  11. Croft W (2000) Explaining language change: an evolutionary approach. Longman, HarlowGoogle Scholar
  12. Easley D, Kleinberg J (2010) Networks, crowds, and markets: Reasoning about a highly connecetd world. Cambridge University Press, CambridgeCrossRefzbMATHGoogle Scholar
  13. Fagyal Z, Swarup S, Escobar AM, Gasser L, Lakkaraju K (2010) Centers and peripheries: network roles in language change. Lingua 120:2061–2079CrossRefGoogle Scholar
  14. Franke M, Jäger G (2012) Bidirectional optimization from reasoning and learning in games. J Log Lang Inf 21(1):117–139MathSciNetCrossRefzbMATHGoogle Scholar
  15. Holme P, Kim BJ (2002) Growing scale-free networks with tunable clustering. Phys Rev E 65(2):026107-1–026107-4CrossRefGoogle Scholar
  16. Huttegger SM (2007) Evolution and the explanation of meaning. Philos Sci 74:1–27MathSciNetCrossRefGoogle Scholar
  17. Jackson MO (2008) Social and economic networks. Princeton University Press, PrincetonzbMATHGoogle Scholar
  18. Ke J, Gong T, Wang WS-Y (2008) Language change and social networks. Commun Comput Phys 3(4):935–949zbMATHGoogle Scholar
  19. Koschützki D, Lehmann K, Peeters L, Richter S, Tenfelde-Podehl S, Zlotowski O (2005) Centrality indices. In: Koschützki D, Lehmann K, Peeters L, Richter S, Tenfelde-Podehl S, Zlotowski O (eds) Network analysis, vol 3418. Springer, Heidelberg, pp 16–61CrossRefGoogle Scholar
  20. Labov W (1973) The linguistic consequences of being a lame. Lang Soc 2(1):81–115CrossRefGoogle Scholar
  21. Labov W (1991) The three dialects of english. In: Eckert P (ed) New ways of analyzing sound change. Academic Press, New York, pp 1–44Google Scholar
  22. Labov W (2001) Principles of linguistic change, volume 2: Social factors. Blackwell, MaldenGoogle Scholar
  23. Labov W (2010) Principles of linguistic change, volume 3: cognitive and cultural factors. Wiley-Blackwell, OxfordCrossRefGoogle Scholar
  24. Lewis D (1969) Convention. Harvard University Press, CambridgeGoogle Scholar
  25. Llamas C (2000) Variation in the north-east of England. In: Paper presented at NWAV 29, Michigan State UniversityGoogle Scholar
  26. Milroy J (1996) A current change in british english: variation in (th) in Derby. Newctle Durh Pap Linguistics 4:213–222Google Scholar
  27. Milroy J, Milroy L (1985) Linguistic change, social network and speaker innovation. J Linguistics 21(2):339–384CrossRefGoogle Scholar
  28. Milroy L (1980) Language and social networks. Blackwell, OxfordGoogle Scholar
  29. Milroy L, Gordon M (2003) Sociolinguistics: method and interpretation. Blackwell, OxfordCrossRefGoogle Scholar
  30. Milroy L, Milroy J (1992) Social network and social class: towards an integrated sociolinguistic model. Lang Soc 21:1–26CrossRefGoogle Scholar
  31. Mühlenbernd R (2011) Learning with neighbours: emergence of convention in a society of learning agents. Synthese 183(S1):87–109MathSciNetCrossRefzbMATHGoogle Scholar
  32. Mühlenbernd R, Franke M (2012) Signaling conventions: who learns what where and when in a social network? In: Scott-Phillips T, Tamariz M, Cartmill EA, Hurford J (eds) Proceedings of the 9th international conference on the evolution of language (Evolang IX), pp 242–249Google Scholar
  33. Mühlenbernd R, Nick J (2014) Language change and the force of innovation. In: Katrenko S, Rendsvig K (eds) Pristine perspectives on logic, language, and computation, vol 8607. Springer, Heidelberg, pp 194–213Google Scholar
  34. Mühlenbernd R, Quinley J (2013) Signaling and simulations in sociolinguistics. In K. Shwayder (ed) University of Pennsylvania working papers in linguistics, vol 19 (article 16) Google Scholar
  35. Mühlenbernd R, Quinley J (2017) Language change and network games. Lang Linguistics Compass 11(2):e12235CrossRefGoogle Scholar
  36. Nettle D (1999) Using social impact theory to simulate language change. Lingua 108(2–3):95–117CrossRefGoogle Scholar
  37. Roth A, Erev I (1995) Learning in extensive-form games: experimental data and simple dynamic models in the intermediate term. Games Econ Behav 8:164–212MathSciNetCrossRefzbMATHGoogle Scholar
  38. Russell B (1921) The analysis of mind. Allen & Unwin, LondonzbMATHGoogle Scholar
  39. Salazar N, Rodriguez-Aguilar JA, Arcos JL (2010) Robust coordination in large convention spaces. AI Commun 23:357–372MathSciNetGoogle Scholar
  40. Shoham Y, Tennenholtz M (1997) On the emergence of social conventions: modeling, analysis, and simulations. Artif Intell 94(1–2):139–166CrossRefzbMATHGoogle Scholar
  41. Skyrms B (2010) Signals: evolution, learning and information. Oxford University Press, OxfordCrossRefGoogle Scholar
  42. Steels L (2002) Grounding symbols through evolutionary language games. In: Cangelosi A, Parisi D (eds) Simulating the evolution of language. Springer, London, pp 211–226CrossRefGoogle Scholar
  43. Sutton R, Barto A (1998) Reinforcement learning: an introduction. The MIT Press, CambridgeGoogle Scholar
  44. Trudgill P (1988) Norwich revisited: recent changes in an english urban dialect. Engl World-Wide 9(1):33–49CrossRefGoogle Scholar
  45. Wagner E (2009) Communication and structured correlation. Erkenntnis 71(3):377–393CrossRefGoogle Scholar
  46. Wärneryd K (1993) Cheap talk, coordination, and evolutionary stability. Games Econ Behav 5(4):532–546MathSciNetCrossRefzbMATHGoogle Scholar
  47. Watts DJ, Strogatz SH (1998) Collective dynamics of small-world networks. Nature 393:440–442CrossRefzbMATHGoogle Scholar
  48. Young HP (1993) The evolution of conventions. Econometrica 2(1):129–145MathSciNetzbMATHGoogle Scholar
  49. Zollman KJS (2005) Talking to neighbors: the evolution of regional meaning. Philos Sci 72(1):69–85MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of LinguisticsEberhard Karls University TübingenTübingenGermany

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