•  66
    Is human compositionality meta-learned?
    with Jacob Russin, Ellie Pavlick, and Michael J. Frank
    Behavioral and Brain Sciences 47. 2024.
    Recent studies suggest that meta-learning may provide an original solution to an enduring puzzle about whether neural networks can explain compositionality – in particular, by raising the prospect that compositionality can be understood as an emergent property of an inner-loop learning algorithm. We elaborate on this hypothesis and consider its empirical predictions regarding the neural mechanisms and development of human compositionality.
  •  211
    On 'Ontology': Analyzing the Carnap-Quine Debate as a Case of Metalinguistic Negotiation
    Journal for the History of Analytical Philosophy 12 (1). 2024.
    This paper uses the concept of metalinguistic negotiation, drawn from contemporary philosophy of language, to develop a novel interpretation of Carnap and Quine’s debate about ontology. Like recent revisionary accounts of the debate, it argues that the widespread perception of first-order disagreement between the two is misleading, ascribing this misperception to Carnap and Quine’s divergent usage of “ontology” and its cognates. Once this difference is accounted for, their seemingly contradictor…Read more
  •  82
    Properties of LoTs: The footprints or the bear itself?
    with Jacob Russin, Ellie Pavlick, and Roman Feiman
    Behavioral and Brain Sciences 46. 2023.
    There are two ways to understand any proposed properties of language-of-thoughts (LoTs): As diagnostic or constitutive. We argue that this choice is critical. If candidate properties are diagnostic, their homeostatic clustering requires explanation via an underlying homeostatic mechanism. If constitutive, there is no clustering, only the properties themselves. Whether deep neural networks (DNNs) are alternatives to LoTs or potential implementations turn on this choice.