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How to Set Up Normal Optimal Answer Models

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Language, Games, and Evolution

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6207))

Abstract

We investigate the role of multi-attribute utility analyses in game theoretic models of Gricean pragmatics, i.e. for finding a model of the linguistic context of an utterance and for the calculation of implicatures. We investigate especially relevance implicatures of direct answers. The work is based on the optimal answer model (Benz, 2006; Benz & v. Rooij, 2007). We argue that multi-attribute utility functions play an essential role in finding the appropriate models. We concentrate especially on default assumptions which are necessary in order to calculate the correct implicatures. As normality assumptions play a central role in the construction of these models, we call them normal optimal answer models. We introduce rules which provide guidelines for setting up these models.

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References

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Benz, A. (2011). How to Set Up Normal Optimal Answer Models. In: Benz, A., Ebert, C., Jäger, G., van Rooij, R. (eds) Language, Games, and Evolution. Lecture Notes in Computer Science(), vol 6207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18006-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-18006-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18005-7

  • Online ISBN: 978-3-642-18006-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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