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Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
TLDR
We present a model of pragmatic referring expression interpretation in a grounded communication task (identifying colors from descriptions) that draws upon predictions from two recurrent neural network classifiers, a speaker and a listener, unified by a recursive pragmatic reasoning framework. Expand
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The Formation of Social Conventions in Real-Time Environments
TLDR
We present a novel analysis of the dynamics of continuous interaction and signaling within rounds in a game of impure coordination. Expand
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Bootstrap Methods for the Empirical Study of Decision-Making and Information Flows in Social Systems
TLDR
We characterize the statistical bootstrap for the estimation of information- theoretic quantities from data, with particular reference to its use in the study of large-scale social phenomena. Expand
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Why do you ask? Good questions provoke informative answers
What makes a question useful? What makes an answer appropriate? In this paper, we formulate a family of increasingly sophisticated models of question-answer behavior within the Rational Speech ActExpand
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Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome
TLDR
We map path ensembles in a set of anatomical brain networks derived from diffusion imaging and tractography. Expand
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Conducting real-time multiplayer experiments on the web
TLDR
In this paper, we address the methodological challenge of developing and conducting real-time behavioral game theory experiments on the web, thereby broadening access to online labor markets as well as allowing for participation through mobile devices. Expand
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The Emergence of Social Norms and Conventions
The utility of our actions frequently depends upon the beliefs and behavior of other agents. Thankfully, through experience, we learn norms and conventions that provide stable expectations forExpand
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Animal, dog, or dalmatian? Level of abstraction in nominal referring expressions
TLDR
We show that utterance choice is affected by the contextual informativeness of a description, its length and frequency, and the typicality of the object for that description. Expand
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Improving the Replicability of Psychological Science Through Pedagogy
Replications are important to science, but who will do them? One proposal is that students can conduct replications as part of their training. As a proof of concept for this idea, here we report aExpand
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Shapeglot: Learning Language for Shape Differentiation
TLDR
In this work we explore how fine-grained differences between the shapes of common objects are expressed in language, grounded on 2D and/or 3D object representations. Expand
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