Getting Clarity by Defining Artificial Intelligence—A Survey

Monett, Dagmar; Lewis, Colin W. P.

doi:10.1007/978-3-319-96448-5_21

Cited by 41 publications

(28 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Well, it proposes to put an issue front and center that has never really been at the center of our approach to intelligence before (except in Pei Wang's own writings; cf. (Monett and Lewis, 2018;Wang, 2006)). This has far-reaching implications which can be viewed from several angles; let us conclude by taking a brief look at one.…”

Section: What It All Meansmentioning

confidence: 99%

See 1 more Smart Citation

Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response

Monett

Lewis²,

Þórisson

et al. 2020

Journal of Artificial General Intelligence

Self Cite

View full text Add to dashboard Cite

Pei Wang's paper titled "On Defining Artificial Intelligence" was published in a special issue of the Journal of Artificial General Intelligence (JAGI) in December of last year (Wang, 2019). Wang has been at the forefront of AGI research for over two decades. His non-axiomatic approach to reasoning has stood as a singular example of what may lie beyond narrow AI, garnering interest from NASA and Cisco, among others. We consider his article one of the strongest attempts, since the beginning of the field, to address the long-standing lack of consensus for how to define the field and topic of artificial intelligence (AI). In the recent AGISI survey on defining intelligence (Monett and Lewis, 2018), Pei Wang's definition, The essence of intelligence is the principle of adapting to the environment while working with insufficient knowledge and resources. Accordingly, an intelligent system should rely on finite processing capacity, work in real time, open to unexpected tasks, and learn from experience. This working definition interprets "intelligence" as a form of "relative rationality" (Wang, 2008), 1. Most striking in these numbers is the glaring absence of female authors. A common reason among female academics for rejecting our invitation to contribute was overcommitment. As a community, we may want to think of new, different ways of engaging the full spectrum of AI practitioners if we value inclusion as an essential constituent of a healthy scientific growth. Self determination and willingness to participate are also essential. This is an open access article licensed under the Creative Commons BY-NC-ND License.

show abstract

Section: What It All Meansmentioning

confidence: 99%

“…In fact, there seem to be so many things relevant to the phenomenon of intelligence that by the end of the last decade AI researchers had come up with over 28 (working) definitions (cf. Monett and Lewis, 2018)), a number that undoubtedly has grown since.…”

Section: Novelty Demands Generalitymentioning

confidence: 99%

Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response

Monett

Lewis²,

Þórisson

et al. 2020

Journal of Artificial General Intelligence

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is well known that there is no widely accepted definition of Artificial Intelligence (AI) (Kirsh, 1991;Allen, 1998;Hearst and Hirsh, 2000;Brachman, 2006;Nilsson, 2009;Bhatnagar et al, 2018;Monett and Lewis, 2018). Consequently, the term "AI" has been used with many different senses, both within the field and outside it.…”

Section: Why Define Aimentioning

confidence: 99%

“…"Theories of intelligence and the goal of Artificial Intelligence (A.I.) have been the source of much confusion both within the field and among the general public" (Monett and Lewis, 2018) -among people with different opinions on what "AI" means, there is little chance for them to agree on how to build one, or to agree on the evaluation criteria, benchmark tests, milestones, etc., which are crucial for the healthy growth of a research community (Hernández-Orallo, 2017). It also makes cooperation difficult among different groups.…”

Section: Why Define Aimentioning

confidence: 99%

See 1 more Smart Citation

On Defining Artificial Intelligence

Wang

2019

Journal of Artificial General Intelligence

424

140

View full text Add to dashboard Cite

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.

show abstract

AIM in Nursing Practice

Meetoo¹,

Ochieng²

2021

Artificial Intelligence in Medicine

View full text Add to dashboard Cite

Getting Clarity by Defining Artificial Intelligence—A Survey

Cited by 41 publications

References 3 publications

Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response

Special Issue “On Defining Artificial Intelligence”—Commentaries and Author’s Response

On Defining Artificial Intelligence

AIM in Nursing Practice

Contact Info

Product

Resources

About