A Puzzle concerning Compositionality in Machines

Minds and Machines 30 (1):47-75 (2020)
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Abstract

This paper attempts to describe and address a specific puzzle related to compositionality in artificial networks such as Deep Neural Networks and machine learning in general. The puzzle identified here touches on a larger debate in Artificial Intelligence related to epistemic opacity but specifically focuses on computational applications of human level linguistic abilities or properties and a special difficulty with relation to these. Thus, the resulting issue is both general and unique. A partial solution is suggested.

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Ryan Mark Nefdt
University of Cape Town

Citations of this work

Making AI Intelligible: Philosophical Foundations.Herman Cappelen & Josh Dever - 2021 - New York, USA: Oxford University Press.
Are machines radically contextualist?Ryan M. Nefdt - 2023 - Mind and Language 38 (3):750-771.
The Boundaries of Meaning: A Case Study in Neural Machine Translation.Yuri Balashov - 2022 - Inquiry: An Interdisciplinary Journal of Philosophy 66.

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References found in this work

Vision.David Marr - 1982 - W. H. Freeman.
Semantics in generative grammar.Irene Heim & Angelika Kratzer - 1998 - Malden, MA: Blackwell. Edited by Angelika Kratzer.
The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.

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