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  1.  55
    The Evolution of Compositionality in Signaling Games.Michael Franke - 2016 - Journal of Logic, Language and Information 25 (3-4):355-377.
    Compositionality is a key design feature of human language: the meaning of complex expressions is, for the most part, systematically constructed from the meanings of its parts and their manner of composition. This paper demonstrates that rudimentary forms of compositional communicative behavior can emerge from a variant of reinforcement learning applied to signaling games. This helps explain how compositionality could have emerged gradually: if unsophisticated agents can evolve prevalent dispositions to communicate compositional-like, there is a direct evolutionary benefit for adaptations (...)
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  2.  37
    Vagueness and Imprecise Imitation in Signalling Games.Michael Franke & José Pedro Correia - 2018 - British Journal for the Philosophy of Science 69 (4):1037-1067.
    Signalling games are popular models for studying the evolution of meaning, but typical approaches do not incorporate vagueness as a feature of successful signalling. Complementing recent like-minded models, we describe an aggregate population-level dynamic that describes a process of imitation of successful behaviour under imprecise perception and realization of similar stimuli. Applying this new dynamic to a generalization of Lewis’s signalling games, we show that stochastic imprecision leads to vague, yet by-and-large efficient signal use, and, moreover, that it unifies evolutionary (...)
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  3.  14
    Evidential Strength of Intonational Cues and Rational Adaptation to Reliable Intonation.Timo B. Roettger & Michael Franke - 2019 - Cognitive Science 43 (7):e12745.
    Intonation plays an integral role in comprehending spoken language. Listeners can rapidly integrate intonational information to predictively map a given pitch accent onto the speaker's likely referential intentions. We use mouse tracking to investigate two questions: (a) how listeners draw predictive inferences based on information from intonation? and (b) how listeners adapt their online interpretation of intonational cues when these are reliable or unreliable? We formulate a novel Bayesian model of rational predictive cue integration and explore predictions derived under a (...)
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  4.  27
    Coevolution of Lexical Meaning and Pragmatic Use.Thomas Brochhagen, Michael Franke & Robert van Rooij - 2018 - Cognitive Science 42 (8):2757-2789.
    According to standard linguistic theory, the meaning of an utterance is the product of conventional semantic meaning and general pragmatic rules on language use. We investigate how such a division of labor between semantics and pragmatics could evolve under general processes of selection and learning. We present a game‐theoretic model of the competition between types of language users, each endowed with certain lexical representations and a particular pragmatic disposition to act on them. Our model traces two evolutionary forces and their (...)
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  5.  27
    From partners to populations: A hierarchical Bayesian account of coordination and convention.Robert D. Hawkins, Michael Franke, Michael C. Frank, Adele E. Goldberg, Kenny Smith, Thomas L. Griffiths & Noah D. Goodman - 2023 - Psychological Review 130 (4):977-1016.
  6.  43
    Bidirectional Optimization from Reasoning and Learning in Games.Michael Franke & Gerhard Jäger - 2012 - Journal of Logic, Language and Information 21 (1):117-139.
    We reopen the investigation into the formal and conceptual relationship between bidirectional optimality theory (Blutner in J Semant 15(2):115–162, 1998 , J Semant 17(3):189–216, 2000 ) and game theory. Unlike a likeminded previous endeavor by Dekker and van Rooij (J Semant 17:217–242, 2000 ), we consider signaling games not strategic games, and seek to ground bidirectional optimization once in a model of rational step-by-step reasoning and once in a model of reinforcement learning. We give sufficient conditions for equivalence of bidirectional (...)
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  7.  24
    Strategies of Deception: Under‐Informativity, Uninformativity, and Lies—Misleading With Different Kinds of Implicature.Michael Franke, Giulio Dulcinati & Nausicaa Pouscoulous - 2020 - Topics in Cognitive Science 12 (2):583-607.
    Franke, Dulcinati and Pouscoulous also examine a form of covert lying, by considering to what extent speakers use implicatures to deceive their addressee. The participants in their online signaling game had to describe a card, which a virtual coplayer then had to select. When the goal was to deceive rather than help the coplayer, participants produced more false descriptions (overt lies), but also more uninformative descriptions (covert lies by means of an implicature). [73].
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  8.  57
    Game Theoretic Pragmatics.Michael Franke - 2013 - Philosophy Compass 8 (3):269-284.
    Game theoretic pragmatics is a small but growing part of formal pragmatics, the linguistic subfield studying language use. The general logic of a game theoretic explanation of a pragmatic phenomenon is this: the conversational context is modelled as a game between speaker and hearer; an adequate solution concept then selects the to‐be‐explained behavior in the game model. For such an explanation to be convincing, both components, game model and solution concept, should be formulated and scrutinized as explicitly as possible. The (...)
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  9.  12
    Gricean Expectations in Online Sentence Comprehension: An ERP Study on the Processing of Scalar Inferences.Petra Augurzky, Michael Franke & Rolf Ulrich - 2019 - Cognitive Science 43 (8):e12776.
    There is substantial support for the general idea that a formalization of comprehenders' expectations about the likely next word in a sentence helps explaining data related to online sentence processing. While much research has focused on syntactic, semantic, and discourse expectations, the present event‐related potentials (ERPs) study investigates neurolinguistic correlates of pragmatic expectations, which arise when comprehenders expect a sentence to conform to Gricean Maxims of Conversation. For predicting brain responses associated with pragmatic processing, we introduce a formal model of (...)
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  10.  59
    Pragmatic Reasoning About Unawareness.Michael Franke - 2014 - Erkenntnis 79 (S4):1-39.
    Language use and interpretation is heavily contingent on context. But human interlocutors need not always agree what the actual context is. In game theoretic approaches to language use and interpretation, interlocutors’ beliefs about the context are the players’ beliefs about the game that they are playing. Together this entails that we need to consider cases in which interlocutors have different subjective conceptualizations of the game they are in. This paper therefore extends iterated best response reasoning, as an established model for (...)
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  11.  7
    Complex probability expressions & higher-order uncertainty: Compositional semantics, probabilistic pragmatics & experimental data.Michele Herbstritt & Michael Franke - 2019 - Cognition 186 (C):50-71.
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  12.  11
    Pragmatic processing: An investigation of the (anti-)presuppositions of determiners using mouse-tracking.Cosima Schneider, Carolin Schonard, Michael Franke, Gerhard Jäger & Markus Janczyk - 2019 - Cognition 193 (C):104024.
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  13.  17
    Smart Representations: Rationality and Evolution in a Richer Environment.Paolo Galeazzi & Michael Franke - 2017 - Philosophy of Science 84 (3):544-573.
    Standard applications of evolutionary game theory look at a single game and focus on the evolution of behavior for that game alone. Instead, this article uses tools from evolutionary game theory to study the competition between choice mechanisms in a rich and variable multigame environment. A choice mechanism is a way of subjectively representing a decision situation, paired with a method for choosing an act based on this subjective representation. We demonstrate the usefulness of this approach by a case study (...)
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  14.  6
    Towards an Ecology of Vagueness.José Pedro Correia & Michael Franke - 2019 - In Richard Dietz (ed.), Vagueness and Rationality in Language Use and Cognition. Springer Verlag. pp. 87-113.
    A vexing puzzle about vagueness, rationality, and evolution runs, in crude abbreviation, as follows: vague language use is demonstrably suboptimal if the goal is efficient, precise and cooperative information transmission; hence rational deliberation or evolutionary selection should, under this assumed goal, eradicate vagueness from language use. Since vagueness is pervasive and entrenched in all human languages, something has to give. In this paper, we focus on this problem in the context of signaling games. We provide an overview of a number (...)
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  15.  27
    On admissibility in game theoretic pragmatics: A Reply to Pavan.Michael Franke - 2014 - Linguistics and Philosophy 37 (3):249-256.
    In a recent contribution in this journal, Sascia Pavan proposed a new game theoretic approach to explain generalized conversational implicatures in terms of general principles of rational behavior. His approach is based on refining Nash equilibrium by a procedure called iterated admissibility. I would like to strengthen Pavan’s case by sketching an epistemic interpretation of iterated admissibility, so as to further our understanding of why iterated admissibility might be a good approximation of pragmatic reasoning. But the explicit epistemic view taken (...)
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  16.  17
    Semantic meaning and pragmatic inference in non-cooperative conversation.Michael Franke - 2010 - In T. Icard & R. Muskens (eds.), Interfaces: Explorations in Logic, Language and Computation. Springer Berlin. pp. 13--24.
  17. Proceedings of the Fifteenth Amsterdam Colloquium.Paul Dekker & Michael Franke (eds.) - 2005 - ILLC.
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  18.  1
    Mutual Exclusivity in Pragmatic Agents.Xenia Ohmer, Michael Franke & Peter König - 2021 - Cognitive Science 46 (1):e13069.
    One of the great challenges in word learning is that words are typically uttered in a context with many potential referents. Children's tendency to associate novel words with novel referents, which is taken to reflect a mutual exclusivity (ME) bias, forms a useful disambiguation mechanism. We study semantic learning in pragmatic agents—combining the Rational Speech Act model with gradient‐based learning—and explore the conditions under which such agents show an ME bias. This approach provides a framework for investigating a pragmatic account (...)
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  19. Brian Skyrms signals: Evolution, learning, and information. [REVIEW]Elliott O. Wagner & Michael Franke - 2013 - British Journal for the Philosophy of Science 64 (4):axt004.
  20.  3
    BRIAN SKYRMS Signals: Evolution, Learning, and Information. [REVIEW]Michael Franke & Elliott O. Wagner - 2013 - British Journal for the Philosophy of Science 64 (4):883-887.
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