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  1. Deception and the Evolution of Plasticity.Rory Smead - 2014 - Philosophy of Science 81 (5):852-865.
    Recent models using simple signaling games provide a theoretical setting for investigating the evolutionary connection between signaling and behavioral plasticity. These models have shown that plasticity is typically eliminated in common-interest signaling games. In many real cases of signaling, however, interests do not align. Here, I present a model of the evolution of plasticity in signaling games and consider games of common, opposed, and partially aligned interests. I find that the setting of partial common interest is most conducive to the (...)
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  • Evolving to Generalize: Trading Precision for Speed.Cailin O’Connor - 2017 - British Journal for the Philosophy of Science 68 (2).
    Biologists and philosophers of biology have argued that learning rules that do not lead organisms to play evolutionarily stable strategies (ESSes) in games will not be stable and thus not evolutionarily successful. This claim, however, stands at odds with the fact that learning generalization---a behavior that cannot lead to ESSes when modeled in games---is observed throughout the animal kingdom. In this paper, I use learning generalization to illustrate how previous analyses of the evolution of learning have gone wrong. It has (...)
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  • The ontogeny and evolution of human collaboration.Brian McLoone & Rory Smead - 2014 - Biology and Philosophy 29 (4):559-576.
    How is the human tendency and ability to collaborate acquired and how did it evolve? This paper explores the ontogeny and evolution of human collaboration using a combination of theoretical and empirical resources. We present a game theoretic model of the evolution of learning in the Stag Hunt game, which predicts the evolution of a built-in cooperative bias. We then survey recent empirical results on the ontogeny of collaboration in humans, which suggest the ability to collaborate is developmentally stable across (...)
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  • Eight journals over eight decades: a computational topic-modeling approach to contemporary philosophy of science.Christophe Malaterre, Francis Lareau, Davide Pulizzotto & Jonathan St-Onge - 2020 - Synthese 199 (1-2):2883-2923.
    As a discipline of its own, the philosophy of science can be traced back to the founding of its academic journals, some of which go back to the first half of the twentieth century. While the discipline has been the object of many historical studies, notably focusing on specific schools or major figures of the field, little work has focused on the journals themselves. Here, we investigate contemporary philosophy of science by means of computational text-mining approaches: we apply topic-modeling algorithms (...)
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  • Still no lie detector for language models: probing empirical and conceptual roadblocks.Benjamin A. Levinstein & Daniel A. Herrmann - forthcoming - Philosophical Studies:1-27.
    We consider the questions of whether or not large language models (LLMs) have beliefs, and, if they do, how we might measure them. First, we consider whether or not we should expect LLMs to have something like beliefs in the first place. We consider some recent arguments aiming to show that LLMs cannot have beliefs. We show that these arguments are misguided. We provide a more productive framing of questions surrounding the status of beliefs in LLMs, and highlight the empirical (...)
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