Making AI meaningful again.
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...
| Publicado en: | Synthese Vol. 198; no. 3; pp. 2061 - 2082 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=149449435&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 149449435 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Mar2021 vid: 198 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 149449435 10.1007/s11229-019-02192-y ppf: 2061 ppct: 21 formats: fmt: @attributes: type: P size: 313KB tig: atl: Making AI meaningful again. aug: au: Landgrebe, Jobst Smith, Barry affil: Cognotekt GmbH, Bonner Str. 209, 50968, Cologne, Germany University at Buffalo, Buffalo, NY, USA su: Artificial intelligence Deep learning Machine learning Enthusiasm Frustration sug: subj: Artificial intelligence Deep learning Machine learning Enthusiasm Frustration keyword: Basic formal ontology (BFO) Deep neural networks Logic Semantics ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
|---|