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Titel: The state space of artificial intelligence
Autor(en): Lyre, Holger
Erscheinungsdatum: 2020
Art: Artikel
Sprache: Englisch
URN: urn:nbn:de:gbv:ma9:1-1981185920-703876
Schlagwörter: Artificial intelligence
Deep learning
Self-learning
Semantic grounding
State space of AI
Self-x-property
Self-x-capacity
Zusammenfassung: The goal of the paper is to develop and propose a general model of the state space of AI. Given the breathtaking progress in AI research and technologies in recent years, such conceptual work is of substantial theoretical interest. The present AI hype is mainly driven by the triumph of deep learning neural networks. As the distinguishing feature of such networks is the ability to self-learn, self-learning is identified as one important dimension of the AI state space. Another dimension is recognized as generalization, the possibility to go over from specific to more general types of problems. A third dimension is semantic grounding. Our overall analysis connects to a number of known foundational issues in the philosophy of mind and cognition: the blockhead objection, the Turing test, the symbol grounding problem, the Chinese room argument, and use theories of meaning. It shall finally be argued that the dimension of grounding decomposes into three sub-dimensions. And the dimension of self-learning turns out as only one of a whole range of “self-x-capacities” (based on ideas of organic computing) that span the self-x-subspace of the full AI state space.
URI: https://opendata.uni-halle.de//handle/1981185920/70387
http://dx.doi.org/10.25673/68436
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Sponsor/Geldgeber: Projekt DEAL 2020
Journal Titel: Minds and machines
Verlag: Springer Science + Business Media B.V
Verlagsort: Dordrecht [u.a.]
Band: 30
Heft: 3
Originalveröffentlichung: 10.1007/s11023-020-09538-3
Seitenanfang: 325
Seitenende: 347
Enthalten in den Sammlungen:Fakultät für Humanwissenschaften (ehemals: Fakultät für Geistes-, Sozial- und Erziehungswissenschaften) (OA)

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