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  1. Brain responses to a lab-evolved artificial language with space-time metaphors.Tessa Verhoef, Tyler Marghetis, Esther Walker & Seana Coulson - 2024 - Cognition 246 (C):105763.
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  • Conversation, cognition and cultural evolution.Seán G. Roberts & Stephen C. Levinson - 2017 - Interaction Studies 18 (3):402-442.
    This paper outlines a first attempt to model the special constraints that arise in language processing in conversation, and to explore the implications such functional considerations may have on language typology and language change. In particular, we focus on processing pressures imposed by conversational turn-taking and their consequences for the cultural evolution of the structural properties of language. We present an agent-based model of cultural evolution where agents take turns at talk in conversation. When the start of planning for the (...)
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  • Cultural Evolution of Precise and Agreed‐Upon Semantic Conventions in a Multiplayer Gaming App.Olivier Morin, Thomas F. Müller, Tiffany Morisseau & James Winters - 2022 - Cognitive Science 46 (2):e13113.
    The amount of information conveyed by linguistic conventions depends on their precision, yet the codes that humans and other animals use to communicate are quite ambiguous: they may map several vague meanings to the same symbol. How does semantic precision evolve, and what are the constraints that limit it? We address this question using a multiplayer gaming app, where individuals communicate with one another in a scaled-up referential game. Here, the goal is for a sender to use black and white (...)
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  • The emergence of word-internal repetition through iterated learning: Explaining the mismatch between learning biases and language design.Mitsuhiko Ota, Aitor San José & Kenny Smith - 2021 - Cognition 210 (C):104585.
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