A Puzzle concerning Compositionality in Machines

Autor:	Ryan M. Nefdt
Rok vydání:	2020
Předmět:	Cognitive science Philosophy of mind Philosophy of science Relation (database) Computer science business.industry Principle of compositionality Deep learning Artificial networks Philosophy Artificial Intelligence Theory of computation Deep neural networks Artificial intelligence business
Zdroj:	Minds and Machines. 30:47-75
ISSN:	1572-8641 0924-6495
DOI:	10.1007/s11023-020-09519-6
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b3d5068513d17453e3b63424b7da4f99 https://doi.org/10.1007/s11023-020-09519-6 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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