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{ "pk": 26413, "title": "Learning biases may prevent lexicalization of pragmatic inferences:a case study combining iterated (Bayesian) learning and functional selection", "subtitle": null, "abstract": "Natural languages exhibit properties that are difficult to explainfrom a purely functional perspective. One of these properties isthe systematic lack of upper-bounds in the literal meaning ofscalar expressions. This investigation addresses the develop-ment and selection of such semantics from a space of possiblealternatives. To do so we put forward a model that integratesBayesian learning into the replicator-mutator dynamics com-monly used in evolutionary game theory. We argue this syn-thesis to provide a suitable and general model to analyze thedynamics involved in the use and transmission of language.Our results shed light on the semantics-pragmatics divide andshow how a learning bias in tandem with functional pressuremay prevent the lexicalization of pragmatic inferences.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "semantics; pragmatics; iterated learning; evolu-tionary game theory; scalar expressions" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/8kf6d2wx", "frozenauthors": [ { "first_name": "Thomas", "middle_name": "", "last_name": "Brochhagen", "name_suffix": "", "institution": "University of Amsterdam", "department": "" }, { "first_name": "Michael", "middle_name": "", "last_name": "Franke", "name_suffix": "", "institution": "University of T ̈ubingen", "department": "" }, { "first_name": "Robert", "middle_name": "van", "last_name": "Rooij", "name_suffix": "", "institution": "University of Amsterdam", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26413/galley/16049/download/" } ] }