Learning Machines: In Search of a Concept Oriented Language

Fuente: arXiv
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Main Author: Gunes, Veyis
Format: Preprint
Published: 2024
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author Gunes, Veyis
author_facet Gunes, Veyis
contents What is the next step after the data/digital revolution? What do we need the most to reach this aim? How machines can memorize, learn or discover? What should they be able to do to be qualified as "intelligent"? These questions relate to the next generation "intelligent" machines. Probably, these machines should be able to handle knowledge discovery, decision-making and concepts. In this paper, we will take into account some historical contributions and discuss these different questions through an analogy to human intelligence. Also, a general framework for a concept oriented language will be proposed.
format Preprint
id arxiv_https___arxiv_org_abs_2409_01968
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Learning Machines: In Search of a Concept Oriented Language
Gunes, Veyis
Machine Learning
Computation and Language
What is the next step after the data/digital revolution? What do we need the most to reach this aim? How machines can memorize, learn or discover? What should they be able to do to be qualified as "intelligent"? These questions relate to the next generation "intelligent" machines. Probably, these machines should be able to handle knowledge discovery, decision-making and concepts. In this paper, we will take into account some historical contributions and discuss these different questions through an analogy to human intelligence. Also, a general framework for a concept oriented language will be proposed.
title Learning Machines: In Search of a Concept Oriented Language
topic Machine Learning
Computation and Language
url https://arxiv.org/abs/2409.01968