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  1. Language as shaped by the brain.Morten H. Christiansen & Nick Chater - 2008 - Behavioral and Brain Sciences 31 (5):489-509.
    It is widely assumed that human learning and the structure of human languages are intimately related. This relationship is frequently suggested to derive from a language-specific biological endowment, which encodes universal, but communicatively arbitrary, principles of language structure (a Universal Grammar or UG). How might such a UG have evolved? We argue that UG could not have arisen either by biological adaptation or non-adaptationist genetic processes, resulting in a logical problem of language evolution. Specifically, as the processes of language change (...)
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  • The communicative function of ambiguity in language.Steven T. Piantadosi, Harry Tily & Edward Gibson - 2012 - Cognition 122 (3):280-291.
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  • Simplicity: A unifying principle in cognitive science?Nick Chater & Paul Vitányi - 2003 - Trends in Cognitive Sciences 7 (1):19-22.
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  • The learnability of abstract syntactic principles.Amy Perfors, Joshua B. Tenenbaum & Terry Regier - 2011 - Cognition 118 (3):306-338.
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  • Foundations of Representation: Where Might Graphical Symbol Systems Come From?Simon Garrod, Nicolas Fay, John Lee, Jon Oberlander & Tracy MacLeod - 2007 - Cognitive Science 31 (6):961-987.
    It has been suggested that iconic graphical signs evolve into symbolic graphical signs through repeated usage. This article reports a series of interactive graphical communication experiments using a ‘pictionary’ task to establish the conditions under which the evolution might occur. Experiment 1 rules out a simple repetition based account in favor of an account that requires feedback and interaction between communicators. Experiment 2 shows how the degree of interaction affects the evolution of signs according to a process of grounding. Experiment (...)
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  • Language Evolution by Iterated Learning With Bayesian Agents.Thomas L. Griffiths & Michael L. Kalish - 2007 - Cognitive Science 31 (3):441-480.
    Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this posterior (...)
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  • The evolution of frequency distributions: Relating regularization to inductive biases through iterated learning.Florencia Reali & Thomas L. Griffiths - 2009 - Cognition 111 (3):317-328.
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  • The Interactive Evolution of Human Communication Systems.Nicolas Fay, Simon Garrod, Leo Roberts & Nik Swoboda - 2010 - Cognitive Science 34 (3):351-386.
    This paper compares two explanations of the process by which human communication systems evolve: iterated learning and social collaboration. It then reports an experiment testing the social collaboration account. Participants engaged in a graphical communication task either as a member of a community, where they interacted with seven different partners drawn from the same pool, or as a member of an isolated pair, where they interacted with the same partner across the same number of games. Participants’ horizontal, pair‐wise interactions led (...)
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  • Word Meanings Evolve to Selectively Preserve Distinctions on Salient Dimensions.Catriona Silvey, Simon Kirby & Kenny Smith - 2015 - Cognitive Science 39 (1):212-226.
    Words refer to objects in the world, but this correspondence is not one-to-one: Each word has a range of referents that share features on some dimensions but differ on others. This property of language is called underspecification. Parts of the lexicon have characteristic patterns of underspecification; for example, artifact nouns tend to specify shape, but not color, whereas substance nouns specify material but not shape. These regularities in the lexicon enable learners to generalize new words appropriately. How does the lexicon (...)
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  • Language Evolution Can Be Shaped by the Structure of the World.Amy Perfors & Daniel J. Navarro - 2014 - Cognitive Science 38 (4):775-793.
    Human languages vary in many ways but also show striking cross-linguistic universals. Why do these universals exist? Recent theoretical results demonstrate that Bayesian learners transmitting language to each other through iterated learning will converge on a distribution of languages that depends only on their prior biases about language and the quantity of data transmitted at each point; the structure of the world being communicated about plays no role (Griffiths & Kalish, , ). We revisit these findings and show that when (...)
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  • A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal.Jennifer Culbertson & Paul Smolensky - 2012 - Cognitive Science 36 (8):1468-1498.
    In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language‐learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners’ input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized learning biases. The test case is an experiment (Culbertson, Smolensky, & Legendre, 2012) targeting the learning of word‐order patterns in the nominal domain. The model identifies internal biases of (...)
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  • Cultural constraints on grammar and cognition in pirahã: Another look at the D e sign features} of human L anguage.Daniel L. Everett - 2005 - Current Anthropology 46 (4):621--646.
    The Pirahã language challenges simplistic application of Hockett’s nearly universally accepted design features of human language by showing that some of these features may be culturally constrained. In particular, Pirahã culture constrains communication to nonabstract subjects which fall within the immediate experience of interlocutors. This constraint explains a number of very surprising features of Pirahã grammar and culture: the absence of numbers of any kind or a concept of counting and of any terms for quantification, the absence of color terms, (...)
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  • Compression as a Universal Principle of Animal Behavior.Ramon Ferrer-I.-Cancho, Antoni Hernández-Fernández, David Lusseau, Govindasamy Agoramoorthy, Minna J. Hsu & Stuart Semple - 2013 - Cognitive Science 37 (8):1565-1578.
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  • Compression as a Universal Principle of Animal Behavior.Ramon Ferrer‐I.‐Cancho, Antoni Hernández‐Fernández, David Lusseau, Govindasamy Agoramoorthy, Minna J. Hsu & Stuart Semple - 2013 - Cognitive Science 37 (8):1565-1578.
    A key aim in biology and psychology is to identify fundamental principles underpinning the behavior of animals, including humans. Analyses of human language and the behavior of a range of non-human animal species have provided evidence for a common pattern underlying diverse behavioral phenomena: Words follow Zipf's law of brevity (the tendency of more frequently used words to be shorter), and conformity to this general pattern has been seen in the behavior of a number of other animals. It has been (...)
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