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Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines

Kersting, Kristian (2024)
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.
In: Frontiers in Big Data, 2018, 1
doi: 10.26083/tuprints-00015715
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines
Language: English
Date: 5 March 2024
Place of Publication: Darmstadt
Year of primary publication: 19 November 2018
Place of primary publication: Lausanne
Publisher: Frontiers Media S.A.
Journal or Publication Title: Frontiers in Big Data
Volume of the journal: 1
Collation: 4 Seiten
DOI: 10.26083/tuprints-00015715
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Machine learning (ML) and artificial intelligence (AI) are becoming dominant problem-solving techniques in many areas of research and industry, not least because of the recent successes of deep learning (DL). However, the equation AI=ML=DL, as recently suggested in the news, blogs, and media, falls too short. These fields share the same fundamental hypotheses: computation is a useful way to model intelligent behavior in machines. What kind of computation and how to program it? This is not the right question. Computation neither rules out search, logical, and probabilistic techniques, nor (deep) (un)supervised and reinforcement learning methods, among others, as computational models do include all of them. They complement each other, and the next breakthrough lies not only in pushing each of them but also in combining them.

Uncontrolled Keywords: machine learning, artificial intelligence, deep learning, computation, learning methods
Identification Number: Artikel-ID: 6
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-157154
Additional Information:

Specialty section: This article was submitted to Machine Learning and Artificial Intelligence, a section of the journal Frontiers in Big Data

Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Artificial Intelligence and Machine Learning
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
Date Deposited: 05 Mar 2024 13:33
Last Modified: 03 Jul 2024 09:34
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/15715
PPN: 519524942
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