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Making AI meaningful again

Landgrebe, Jobst and Smith, Barry (2019) Making AI meaningful again. Synthese. ISSN 1573-0964

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Abstract

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s, but this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Landgrebe, Jobstjobst.landgrebe@cognotekt.com
Smith, Barryphismith@buffalo.edu
Keywords: Artificial intelligence, deep neural networks, semantics, logic, Basic Formal Ontology (BFO)
Subjects: Specific Sciences > Mathematics > Logic
Specific Sciences > Artificial Intelligence > Classical AI
Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Philosophers of Science
Depositing User: Dr. Jobst Landgrebe
Date Deposited: 28 Mar 2019 02:58
Last Modified: 28 Mar 2019 02:58
Item ID: 15855
Journal or Publication Title: Synthese
Publisher: Springer (Springer Science+Business Media B.V.)
Subjects: Specific Sciences > Mathematics > Logic
Specific Sciences > Artificial Intelligence > Classical AI
Specific Sciences > Computer Science
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Philosophers of Science
Date: 2019
ISSN: 1573-0964
URI: http://philsci-archive.pitt.edu/id/eprint/15855

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