Coevolution of Lexical Meaning and Pragmatic Use

Abstract 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 interaction: (i) pressure toward communicative efficiency and (ii) transmission perturbations during the acquisition of linguistic knowledge. We illustrate the model based on a case study on scalar implicatures, which suggests that the relationship between underspecified semantics and pragmatic inference is one of coevolution.

[1]  T. Jukes,et al.  The neutral theory of molecular evolution. , 2000, Genetics.

[2]  Morten H. Christiansen,et al.  Language as shaped by the brain. , 2008, The Behavioral and brain sciences.

[3]  Gerhard Jäger,et al.  Language structure: psychological and social constraints , 2007, Synthese.

[4]  Siobhan Chapman.  Logic and Conversation , 2005 .

[5]  George Kingsley Zipf,et al.  Human behavior and the principle of least effort , 1949 .

[6]  Laurence R. Horn,et al.  On the semantic properties of logical operators in english' reproduced by the indiana university lin , 1972 .

[7]  G. Chierchia,et al.  Scalar implicature as a grammatical phenomenon , 2012 .

[8]  S. Kirby,et al.  The cultural evolution of language. , 2016, Current opinion in psychology.

[9]  Thomas L. Griffiths,et al.  A Rational Analysis of Rule-Based Concept Learning , 2008, Cogn. Sci..

[10]  S. Kirby,et al.  The emergence of linguistic structure: an overview of the iterated learning model , 2002 .

[11]  Yi Ting Huang,et al.  Online interpretation of scalar quantifiers: Insight into the semantics–pragmatics interface , 2009, Cognitive Psychology.

[12]  Andreas H. Jucker.  Historical Pragmatics , 2008, Lang. Linguistics Compass.

[13]  K. Wärneryd.  Cheap Talk, Coordination, and Evolutionary Stability , 1993 .

[14]  M A Nowak,et al.  Evolution of universal grammar. , 2001, Science.

[15]  Michael Franke,et al.  The Evolution of Compositionality in Signaling Games , 2015, Journal of Logic, Language and Information.

[16]  Dirk Helbing,et al.  A stochastic behavioral model and a ‘Microscopic’ foundation of evolutionary game theory , 1996, cond-mat/9805340.

[17]  Noah D. Goodman,et al.  Knowledge and implicature: Modeling language understanding as social cognition , 2012, CogSci.

[18]  John N. Williams,et al.  Are generalised scalar implicatures generated by default? An on-line investigation into the role of context in generating pragmatic inferences , 2006, Cognition.

[19]  Simon Kirby,et al.  Minimal Requirements for the Emergence of Learned Signaling , 2014, Cogn. Sci..

[20]  K. Schlag.  Why Imitate, and If So, How?, : A Boundedly Rational Approach to Multi-armed Bandits , 1998 .

[21]  R. Rooij,et al.  Optimal assertions, and what they implicate. A uniform game theoretic approach , 2007 .

[22]  Mante S. Nieuwland,et al.  On the incrementality of pragmatic processing: An ERP investigation of informativeness and pragmatic abilities. , 2010, Journal of memory and language.

[23]  Henry Brighton,et al.  Compositional Syntax From Cultural Transmission , 2002, Artificial Life.

[24]  Carla L. Hudson Kam,et al.  Regularizing Unpredictable Variation: The Roles of Adult and Child Learners in Language Formation and Change , 2005 .

[25]  Luc Steels,et al.  A Self-Organizing Spatial Vocabulary , 1995, Artificial Life.

[26]  Natalie M. Klein,et al.  “Some,” and possibly all, scalar inferences are not delayed: Evidence for immediate pragmatic enrichment , 2010, Cognition.

[27]  S. Kirby,et al.  Iterated learning and the evolution of language , 2014, Current Opinion in Neurobiology.

[28]  Robert A. Jacobs,et al.  Four Problems Solved by the Probabilistic Language of Thought , 2016 .

[29]  M. Nowak.  Evolutionary Dynamics: Exploring the Equations of Life , 2006 .

[30]  M. Kimura.  The Neutral Theory of Molecular Evolution: Introduction , 1983 .

[31]  S. Kirby,et al.  Compression and communication in the cultural evolution of linguistic structure , 2015, Cognition.

[32]  Vittorio Loreto,et al.  Cultural route to the emergence of linguistic categories , 2007, Proceedings of the National Academy of Sciences.

[33]  Maj-Britt Mosegaard Hansen,et al.  The Diachrony of Negation , 2014 .

[34]  W. Strange.  Evolution of language. , 1984, JAMA.

[35]  Michael K. Tanenhaus,et al.  Processing Scalar Implicature: A Constraint-Based Approach , 2015, Cogn. Sci..

[36]  Jacob Feldman,et al.  Minimization of Boolean complexity in human concept learning , 2000, Nature.

[37]  Lucas Champollion.  Covert distributivity in algebraic event semantics , 2016 .

[38]  R. Kirk.  CONVENTION: A PHILOSOPHICAL STUDY , 1970 .

[39]  W. Merriman,et al.  The mutual exclusivity bias in children's word learning. , 1989, Monographs of the Society for Research in Child Development.

[40]  Michael C. Frank,et al.  Predicting Pragmatic Reasoning in Language Games , 2012, Science.

[41]  Anton Benz,et al.  Utility and Relevance of Answers , 2006 .

[42]  Andreas Blume,et al.  Evolutionary Stability in Games of Communication , 1993 .

[43]  Michael C. Frank,et al.  Review Pragmatic Language Interpretation as Probabilistic Inference , 2022 .

[44]  Edith L. Bavin,et al.  The Cambridge handbook of child language , 2009 .

[45]  Roger Levy,et al.  Pragmatic reasoning through semantic inference , 2016, Semantics and Pragmatics.

[46]  Thomas L. Griffiths,et al.  Language Evolution by Iterated Learning With Bayesian Agents , 2007, Cogn. Sci..

[47]  Thomas L. Griffiths,et al.  A Bayesian View of Language Evolution by Iterated Learning - eScholarship , 2005 .

[48]  Simon Kirby,et al.  Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language , 2008, Proceedings of the National Academy of Sciences.

[49]  K. Tuyls,et al.  The evolutionary language game: an orthogonal approach. , 2005, Journal of theoretical biology.

[50]  Michael Franke,et al.  Pragmatic Back-and-Forth Reasoning , 2014 .

[51]  L. Steels.  Modeling the cultural evolution of language. , 2011, Physics of life reviews.

[52]  S. Kirby,et al.  Culture shapes the evolution of cognition , 2016, Proceedings of the National Academy of Sciences.

[53]  木村 和夫.  Pragmatics , 1997, Language Teaching.

[54]  M. Pagel.  Human language as a culturally transmitted replicator , 2009, Nature Reviews Genetics.

[55]  Bart Geurts,et al.  Scalar Diversity , 2016, J. Semant..

[56]  Lewis Bott,et al.  Some utterances are underinformative: The onset and time course of scalar inferences , 2004 .

[57]  J. Hofbauer.  The selection mutation equation , 1985, Journal of mathematical biology.

[58]  L. Steels,et al.  coordinating perceptually grounded categories through language: a case study for colour , 2005, Behavioral and Brain Sciences.

[59]  Steven T. Piantadosi,et al.  The communicative function of ambiguity in language , 2011, Cognition.

[60]  W. Schaeken,et al.  When people are more logical under cognitive load: dual task impact on scalar implicature. , 2007, Experimental psychology.

[61]  Robert van Rooij,et al.  Explaining Quantity Implicatures , 2012, J. Log. Lang. Inf..

[62]  Kenny Smith,et al.  Learning Bias, Cultural Evolution of Language, and the Biological Evolution of the Language Faculty , 2011, Human biology.

[63]  Martin A. Nowak,et al.  The evolution of syntactic communication , 2000, Nature.

[64]  Simon Kirby,et al.  Iterated Learning: A Framework for the Emergence of Language , 2003, Artificial Life.

[65]  J. Hofbauer,et al.  Evolutionary game dynamics , 2011 .

[66]  Tilman Börgers,et al.  Learning Through Reinforcement and Replicator Dynamics , 1997 .

[67]  S. Piantadosi.  Zipf’s word frequency law in natural language: A critical review and future directions , 2014, Psychonomic Bulletin & Review.

[68]  Isabel Gauthier,et al.  General object recognition is specific: Evidence from novel and familiar objects , 2017, Cognition.

[69]  Julia Hirschberg,et al.  A theory of scalar implicature , 1985 .

[70]  P. Taylor,et al.  Evolutionarily Stable Strategies and Game Dynamics , 1978 .

[71]  Alan W. Beggs,et al.  On the convergence of reinforcement learning , 2005, J. Econ. Theory.

[72]  P. Niyogi,et al.  Computational and evolutionary aspects of language , 2002, Nature.

[73]  Simon Kirby,et al.  Spontaneous evolution of linguistic structure-an iterated learning model of the emergence of regularity and irregularity , 2001, IEEE Trans. Evol. Comput..

[74]  S. Levinson.  Presumptive Meanings: The theory of generalized conversational implicature , 2001 .

[75]  Eduardo F. Morales,et al.  An Introduction to Reinforcement Learning , 2011 .

[76]  Gerhard Jäger,et al.  An Introduction to Game Theory for Linguists , 2006 .

[77]  T. Griffiths,et al.  ITERATED LEARNING OF MULTIPLE LANGUAGES FROM MULTIPLE TEACHERS , 2010 .

[78]  James R. Hurford,et al.  Biological evolution of the Saussurean sign as a component of the language acquisition device , 1989 .

[79]  Simon Kirby,et al.  Linguistic Evolution Through Language Acquisition: Learning, bottlenecks and the evolution of recursive syntax , 2002 .

[80]  John M. Tomlinson,et al.  Possibly All of that and Then Some: Scalar Implicatures Are Understood in Two Steps. , 2013 .

[81]  Simon Kirby,et al.  Emergence of combinatorial structure and economy through iterated learning with continuous acoustic signals , 2014, J. Phonetics.

[82]  Simon Kirby,et al.  Innateness and culture in the evolution of language , 2006, Proceedings of the National Academy of Sciences.

[83]  Simon M. Huttegger.  Evolution and the Explanation of Meaning* , 2007, Philosophy of Science.

[84]  Charles Kemp,et al.  Kinship Categories Across Languages Reflect General Communicative Principles , 2012, Science.

[85]  R. Duncan Luce,et al.  Individual Choice Behavior: A Theoretical Analysis , 1979 .

[86]  William H. Sandholm,et al.  Population Games And Evolutionary Dynamics , 2010, Economic learning and social evolution.

[87]  Michael Franke,et al.  Probabilistic pragmatics, or why Bayes’ rule is probably important for pragmatics , 2016 .

[88]  G. Jäger,et al.  Game dynamics connects semantics and pragmatics , 2022 .

[89]  T. Mark Ellison,et al.  The Cultural Evolution of Human Communication Systems in Different Sized Populations: Usability Trumps Learnability , 2013, PloS one.

[90]  G. Jäger,et al.  Evolutionary Game Theory and Typology: A Case Study , 2007 .

[91]  Simon Kirby,et al.  Word Meanings Evolve to Selectively Preserve Distinctions on Salient Dimensions , 2015, Cogn. Sci..

[92]  Uli Sauerland,et al.  Scalar Implicatures in Complex Sentences , 2004 .

[93]  Yarden Katz,et al.  Modeling Semantic Cognition as Logical Dimensionality Reduction , 2008 .

[94]  Noah D. Goodman,et al.  Bootstrapping in a language of thought: A formal model of numerical concept learning , 2012, Cognition.

[95]  Roger Levy,et al.  That's what she (could have) said: How alternative utterances affect language use , 2012, CogSci.

[96]  Tao Gong.  Language evolution from a simulation perspective: on the coevolution of compositionality and regularity , 2007 .

[97]  N. Chater,et al.  Simplicity: a unifying principle in cognitive science? , 2003, Trends in Cognitive Sciences.