Synthese 198 (March):2061-2081 (2021)

Authors
Jobst Landgrebe
State University of New York (SUNY)
Barry Smith
State University of New York, Buffalo
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.
Keywords strong AI  logic-driven AI  J. J. Gibson  ecological psychology  Basic Formal Ontology  GOFAI
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Reprint years 2019
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DOI 10.1007/s11229-019-02192-y
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References found in this work BETA

Some Philosophical Problems From the Standpoint of Artificial Intelligence.John McCarthy & Patrick Hayes - 1969 - In B. Meltzer & Donald Michie (eds.), Machine Intelligence 4. Edinburgh University Press. pp. 463--502.
Ontology.Barry Smith - 2003 - In Luciano Floridi (ed.), Blackwell Guide to the Philosophy of Computing and Information. Oxford: Blackwell. pp. 155-166.

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Citations of this work BETA

Ontology and Cognitive Outcomes.David Limbaugh, Jobst Landgrebe, David Kasmier, Ronald Rudnicki, James Llinas & Barry Smith - 2020 - Journal of Knowledge Structures and Systems 1 (1): 3-22.
Biomedical Ontologies.Barry Smith - forthcoming - In Peter Elkin (ed.), Terminology, Ontology and their Implementations. Springer Nature Switzerland AG.
Making Space: The Natural, Cultural, Cognitive and Social Niches of Human Activity.Barry Smith - 2021 - Cognitive Processing 22 (supplementary issue 1):77-87.

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