Can artificial intelligence learn common sense? (인공 지능은 상식을 배울 수 있을까?)

Park, Myung Kwan (박명관)

doi:10.33639/ptc.2023..41.014

Can artificial intelligence learn common sense?

PHILOSOPHY·THOUGHT·CULTURE
2023, (41), pp.294~312
DOI : 10.33639/ptc.2023..41.014
Publisher : Research Institute for East-West Thought
Research Area : Humanities > Other Humanities
Received : December 20, 2022
Accepted : January 31, 2022
Published : January 31, 2023

Park, Myung Kwan ¹

¹동국대학교

Accredited

ABSTRACT

The recent development of artificial intelligence technology as part of the computer science discipline has enabled artificial intelligence computer systems to perform the language processing (understanding and generation) that humans alone are able to do. This human-like system of language processing is called a neural-network language model, and the AI computer system leverages such a neural network language model to emulate human learning, perception, and reasoning skills, living up to the original definition of artificial intelligence. Encompassing learning, perception, and reasoning with commonsense, this work first looks at recent attempts to develop neural network commonsense models from neural network language models to practically implement more human-like artificial intelligence. Next, when implementing human intelligence mechanically, human intelligence and artificial intelligence are expected to differ from each other due to the mapping problems the methodology and implementation confront, so we examine and evaluate the causes of the differences between the two types of intelligence in terms of commonsense.

KEYWORDS

artificial intelligence, common sense, neural network language/common sense model, language, knowledge

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* References for papers published after 2023 are currently being built.

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Can artificial intelligence learn common sense?

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* References for papers published after 2023 are currently being built.

PHILOSOPHY·THOUGHT·CULTURE 2023 KCI Impact Factor : 0.5

Can artificial intelligence learn common sense?

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* References for papers published after 2023 are currently being built.