On Defining Artificial Intelligence
By Pei Wang. Journal of Artificial General Intelligence, 2019
377 citations recorded by the source corpus.
Abstract This article systematically analyzes the problem of defining “artificial intelligence.” It starts by pointing out that a definition influences the path of the research, then establishes four criteria of a good working definition of a notion: being similar to its common usage, drawing a sharp boundary, leading to fruitful research, and as simple as possible. According to these criteria, the representative definitions in the field are analyzed. A new definition is proposed, according to it intelligence means “adaptation with insufficient knowledge and resources.” The implications of this definition are discussed, and it is compared with the other definitions. It is claimed that this definition sheds light on the solution of many existing problems and sets a sound foundation for the field.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/b099ca77c4b9acbcdc9011e8f3a12c09f9b402fb
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In Artificial Intelligence
In Computational Theory and Mathematics
Citations in the corpus
- AI Literacy: Definition, Teaching, Evaluation and Ethical Issues (2021, background): “Wang (2019) broadened the definition of AI which can perform cognitive tasks particularly learning and problem-solving with the exciting technological innovations such as machine learning and neural networks (Zawacki-Richter et al., 2019).”