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Strategic Conversations Under Imperfect Information: Epistemic Message Exchange Games

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This paper refines the game theoretic analysis of conversations in Asher et al. (J Philos Logic 46:355–404, 2017) by adding epistemic concepts to make explicit the intuitive idea that conversationalists typically conceive of conversational strategies in a situation of imperfect information. This ‘epistemic’ turn has important ramifications for linguistic analysis, and we illustrate our approach with a detailed treatment of linguistic examples. © 2018 Springer Science+Business Media B.V., part of Springer Nature
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J Log Lang Inf (2018) 27:343–385
https://doi.org/10.1007/s10849-018-9271-9
Strategic Conversations Under Imperfect Information:
Epistemic Message Exchange Games
Nicholas Asher1·Soumya Paul2
Published online: 4 June 2018
© Springer Science+Business Media B.V., part of Springer Nature 2018
Abstract This paper refines the game theoretic analysis of conversations in Asher et al.
(J Philos Logic 46:355–404, 2017) by adding epistemic concepts to make explicit the
intuitive idea that conversationalists typically conceive of conversational strategies in
a situation of imperfect information. This ‘epistemic’ turn has important ramifications
for linguistic analysis, and we illustrate our approach with a detailed treatment of
linguistic examples.
Keywords Strategic conversations ·Epistemic game theory ·Discourse representation
theory
1 Introduction
It has long been a common sense intuition of many philosophical and linguistic theories
of communication that a conversational contribution should be interpreted in light of
the participants’ own beliefs and plans, in particular their beliefs about beliefs and
Thanks to Julie Hunter, Alex Lascarides, David Beaver, Eric McCready, Daisuke Bekki, Chris Barker,
Erich Grädel, Hans Kamp, Benedikt Löwe, Julian Schlöder, Itai Sher, to the participants of the Rutgers
Workshop on Coordination and Content and to reviewers for the Journal of Logic, Language and
Information for their helpful comments on previous versions of this paper. This work was supported by
ERC Grant 269427.
BSoumya Paul
soumya.paul@gmail.com
Nicholas Asher
nicholas.asher@irit.fr
1IRIT, CNRS, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse, France
2SnT, Université du Luxembourg, 6 avenue de la Fonte, L-4364 Esch-sur-Alzette, Luxembourg
123
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... In other cases, however, disagreements about discourse interpretation can become central to discourse content and development, and even have legal ramifications. Consider the following exchange, discussed in Asher and Paul (2018), in which a reporter is questioning Sheehan, the spokesperson for the former U.S. senator Norm Coleman: ...
... The reporter, however, clearly does not interpret Sheehan's move as an answer, leading to a repetitive back and forth exchange, as each tries to push their particular discourse goal. Asher and Paul (2018) provide a way of modelling competing interpretations of a conversation in an epistemic game theoretic framework, and they show how discourse goals, and interpreters' views on these goals, influence discourse interpretation. They also show how interpreters of conversations such as (34) can become more and more convinced of their interpretation as the dialogue continues. ...
Chapter
Linguistics and philosophy, while being two closely-related fields, are often approached with very different methodologies and frameworks. Bringing together a team of interdisciplinary scholars, this pioneering book provides examples of how conversations between the two disciplines can lead to exciting developments in both fields, from both a historical and a current perspective. It identifies a number of key phenomena at the cutting edge of research within both fields, such as reporting and ascribing, describing and referring, narrating and structuring, locating in time and space, typologizing and ontologizing, determining and questioning, arguing and rejecting, and implying and (pre-)supposing. Each chapter takes on a phenomena and explores it through a set of questions which are posed and answered at the outset of each chapter. An accessible and engaging resource, it is essential reading for researchers and students in both disciplines, and will empower exciting and illuminating conversations for years to come.
... The advantage of relying on QUDs as an established pragmatic model of communication is the model's relationship with (overt) questions. Linguistically, bullshit detection can also be based on other frameworks, which may be more apt to model uncooperative dialog (such as Asher et al., 2017;Asher and Paul, 2018). However, if it is possible to identify underlying questions and their answers in bullshitting texts, we may benefit from such NLP tasks as question answering or answer quality estimation. ...
Article
Fact checking and fake news detection has garnered increasing interest within the natural language processing (NLP) community in recent years, yet other aspects of misinformation remain unexplored. One such phenomenon is `bullshit', which different disciplines have tried to define since it first entered academic discussion nearly four decades ago. Fact checking bullshitters is useless, because factual reality typically plays no part in their assertions: Where liars deceive about content, bullshitters deceive about their goals. Bullshitting is misleading about language itself, which necessitates identifying the points at which pragmatic conventions are broken with deceptive intent. This paper aims to introduce bullshitology into the field of NLP by tying it to questions in a QUD-based definition, providing two approaches to bullshit annotation, and finally outlining which combinations of NLP methods will be helpful to classify which kinds of linguistic bullshit.
... 21 Though we disagree about other details about conversational dynamics, examples of this general approach include , Asher et al. (2017), Asher and Paul (2018), and D'Ambrosio (n.d.). ...
... People tend to see in the evidence what they believe. These forms of bias, however, concern how beliefs and bias influence interpretation, painting only part of the picture of IB. [Asher and Paul 2018] shows a codependence between beliefs and the interpretation of ambiguous or underspecified elements in a text and postulates a similar circular structure to that which we have exploited for belief and interpretation of evidence in analyzing IB. Further, unlike much of the psychological and philosophical literature which either claims that biases like IB arise from bad epistemic practices or aren't really beliefs at all, or finds epistemologically exogenous justifications for it [Cassam 2016;Dardenne and Leyens 1995;Ichino and Räikkä 2020], we show how IB is a natural outcome of Bayesian updating, rational resource management and the belief interpretation codependence. ...
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