A Puzzle concerning Compositionality in Machines

被引：1

作者：

Ryan M. Nefdt

机构：

[1] University of the Cape Town,Department of Philosophy

来源：

Minds and Machines | 2020年 / 30卷

关键词：

Compositionality; Deep Neural Networks; Deep learning; machine learning; Epistemic opacity; Artificial Intelligence;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：47 / 75

页数：28

共 65 条

[1]

Ananny M(2016)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability New Media & Society 20 973-989

[2]

Crawford K(2007)Inferentialism and some of its challenges Philosophy and Phenomenological Research 74 651-676

[3]

Brandom R(1999)Compositionality as methodology Linguistics and Philosophy 22 311-326

[4]

Dever J(2018)Grounds for trust: Essential epistemic opacity and computational reliabilism Minds and Machines 28 645-666

[5]

Durán J(1991)Distributed representations, simple recurrent networks, and grammatical structure Machine Learning 7 195-225

[6]

Formanek N(1988)Connectionism and cognitive architecture: A critical analysis Cognition 28 3-71

[7]

Elman J(2009)The philosophy of simulation: Hot new issues or same old stew? Synthese 169 593-613

[8]

Fodor J(2011)The indeterminacy of word segmentation and the nature of morphology and syntax Folia Linguistica 45 31-80

[9]

Pylyshyn Z(1997)Long short-term memory Neural Computation 9 1735-1780

[10]

Frigg R(2009)The philosophical novelty of computer simulation methods Synthese 169 615-626

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