The Quest For Artificial Intelligence: A History Of Ideas And Achievements
By Nils J. Nilsson. 2009
351 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Health Informatics
View Paper: https://www.semanticscholar.org/paper/c54705f18edf2dbf89c174e24d7f0c67d9d97060
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- João Guerreiro
- Sandra Maria Correia Loureiro
- T. Marwick
- Meredith Ringel Morris
- Danielle Bragg
- Dorin Comaniciu
- Ece Kamar
- Paul Leeson
In Computer Science Applications
- T. Marwick
- Meredith Ringel Morris
- Danielle Bragg
- Dorin Comaniciu
- Ece Kamar
- Paul Leeson
- Joon Sung Park
- P. Restrepo
In Health Informatics
- T. Marwick
- Meredith Ringel Morris
- Danielle Bragg
- Dorin Comaniciu
- Ece Kamar
- Paul Leeson
- Joon Sung Park
- P. Restrepo
Citations in the corpus
- Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies (2020, background): “Neither of the co-authors of the proposal, Claude Shannon and Marvin Minsky, was at the time terribly enthusiastic about the terminology, but McCarthy was keen to distinguish the project from theories of cybernetics and automata (Nilsson, 2009: 77 – 81).”
- Designing an Online Infrastructure for Collecting AI Data From People With Disabilities (2021, methodology): “We then shared our defnition of AI (inspired by [43, 49]) as "a computing system or software that can learn from existing data to perceive and function appropriately in various environments," and described the importance of inclusive datasets for creating AI applications that work for everyone.”
- The Impact of Artificial Intelligence on Innovation (2018, background): “Nilsson (2010) defines AI as “that activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment.”
- Artificial Intelligence in Cardiovascular Imaging (2019, methodology): “However, tangible progress was not made until robust computational methods were developed to stratify and weight data (2,4), and datasets began to increase significantly in size over the last 25 years.”
- The Impact of Artificial Intelligence on Innovation - An Exploratory Analysis (2016, background): “Three-quarters of managers agree that AI would allow their businesses to transition into emerging markets [5].”
- On Defining Artificial Intelligence (2019, background): “The aim of AI had been degraded to the building of “smart tools” (Nilsson, 2009).”
- Artificial intelligence in business: State of the art and future research agenda (2020, background): “Yet, the term emerged in a workshop at Dartmouth College (United States) in 1956 (Nilsson, 2010), which is dubbed the birth of AI.”
- The wrong kind of AI? Artificial intelligence and the future of labour demand (2019, background): “2See Nilsson (2009) for the history of AI.”