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Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge

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Advances in Artificial Life (ECAL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3630))

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Abstract

Typically, multi-agent models for studying the evolution of perceptually grounded lexicons assume that agents perceive the same set of objects, and that there is either joint attention, corrective feedback or cross-situational learning. In this paper we address these two assumptions, by introducing a new multi-agent model for the evolution of perceptually grounded lexicons, where agents do not perceive the same set of objects, and where agents receive a cue to focus their attention to objects, thus simulating a Theory of Mind. In addition, we vary the amount of corrective feedback provided to guide learning word-meanings. Results of simulations show that the proposed model is quite robust to the strength of these cues and the amount of feedback received.

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References

  1. Akhtar, N., Montague, L.: Early lexical acquisition: The role of cross-situational learning. First Language 19, 347–358 (1999)

    Article  Google Scholar 

  2. Bloom, P.: How Children Learn the Meanings of Words. The MIT Press, Cambridge (2000)

    Google Scholar 

  3. Chouinard, M.M., Clark, E.V.: Adult reformulations of child errors as negative evidence. Journal of Child Language 30(3), 637–669 (2003)

    Article  Google Scholar 

  4. Cover, T.M., Hart, P.E.: Nearest neighbor pattern classification. IEEE Transactions on Information Theory, IT 13(1), 21–27 (1967)

    Article  MATH  Google Scholar 

  5. Gong, T., Ke, J., Minett, J.W., Wang, W.S.-Y.: A computational framework to simulate the co-evolution of language and social structure. In: ALife 9, Boston, MA, U.S.A. (2004)

    Google Scholar 

  6. Hurford, J.R.: Biological evolution of the saussurean sign as a component of the language acquisition device. Lingua 77(2), 187–222 (1989)

    Article  Google Scholar 

  7. Kirby, S.: Spontaneous evolution of linguistic structure: an iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolutionary Computation 5(2), 102–110 (2001)

    Article  MathSciNet  Google Scholar 

  8. Oliphant, M.: The learning barrier: Moving from innate to learned systems of communication. Adaptive Behavior 7(3-4), 371–384 (1999)

    Article  Google Scholar 

  9. Quine, W.V.O.: Word and object. Cambridge University Press, Cambridge (1960)

    MATH  Google Scholar 

  10. Smith, A.D.M.: Intelligent meaning creation in a clumpy world helps communication. Artificial Life 9(2), 559–574 (2003)

    Article  Google Scholar 

  11. Steels, L.: Emergent adaptive lexicons. In: Maes, P. (ed.) SAB 1996. MIT Press, Cambridge (1996)

    Google Scholar 

  12. Steels, L.: The synthetic modeling of language origins. Evolution of Communication 1(1), 1–34 (1997)

    Article  Google Scholar 

  13. Steels, L., Kaplan, F., McIntyre, A., Van Looveren, J.: Crucial factors in the origins of word-meaning. In: Wray, A. (ed.) The Transition to Language, pp. 214–217. Oxford University Press, Oxford (2002)

    Google Scholar 

  14. Steels, L., Vogt, P.: Grounding adaptive language games in robotic agents. In: Husbands, C., Harvey, I. (eds.) Proceedings of the Fourth European Conference on Artificial Life. MIT Press, Cambridge (1997)

    Google Scholar 

  15. Tomasello, M.: The cultural origins of human cognition. Harvard University Press, Cambridge (1999)

    Google Scholar 

  16. Vogt, P.: Bootstrapping grounded symbols by minimal autonomous robots. Evolution of Communication 4(1), 89–118 (2000)

    MathSciNet  Google Scholar 

  17. Vogt, P.: Thsim v3.2: The talking heads simulation tool. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 535–544. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  18. Vogt, P., Coumans, H.: Investigating social interaction strategies for bootstrapping lexicon development. Journal of Artificial Societies and Social Simulation 6(1), 1 (2003)

    Google Scholar 

  19. Vogt, P., Divina, F.: Language evolution in large populations of autonomous agents: issues in scaling. In: Proceedings of AISB 2005: Socially inspired computing joint symposium, pp. 80–87 (2005)

    Google Scholar 

  20. Vogt, P., Smith, A.D.M.: Learning colour words is slow: a cross-situational learning account. Behavioral and Brain Sciences (2005) (in press)

    Google Scholar 

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Divina, F., Vogt, P. (2005). Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_65

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  • DOI: https://doi.org/10.1007/11553090_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28848-0

  • Online ISBN: 978-3-540-31816-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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