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Hubert L. Dreyfus

dblp:27/7002 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Motion planning and robot control · 78% Knowledge representation and reasoning · 22%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
embodied cognition
0.112007
Why Heideggerian AI failed and how fixing it would require making it more Heideggerian · Artif. Intell. 2007
Knowledge, reasoning and agents › Knowledge representation and reasoning
nonmonotonic reasoning
0.011996
What Computers Still Can't Do · Artif. Intell. 1996
YearPublicationVenuePosition
2007 Why Heideggerian AI failed and how fixing it would require making it more Heideggerian
Hubert L. Dreyfus
Artif. Intell.1
1996 Response to my Critics
Hubert L. Dreyfus
Artif. Intell.1
1996 What Computers Still Can't Do
abstract
Progress in logic-based AI Hubert Dreyfus claims that "symbolic AI" is a "degenerating research program", i.e. is not making progress.It's hard to see how he would know, since he makes no claim to have read much of the recent literature.In defending "symbolic AI", I shall concentrate on just one part of symbolic AI-the logic-based approach.It was first proposed in [7], attracted only intermittent following at first, but has had an increasing number of workers since 1970.'I think other approaches to AI will also eventually succeed, perhaps even connectio'nism.To contradict an earlier Dreyfus metaphor "AI at the Crossroads Again", it isn't a crossroads but a race including logic-based AI, SOAR, connectionism and several other contenders.How goes the logic-based runner?In fits and starts, as problems are identified and progress made.Within logic-based AI, I shall emphasize one development-formalized nonmonotonic reasoning, because it illustrates intermittent but definite progress.It was first proposed in [8], gained momentum with the 1980 special issue of Artificial Intelligence, and summarized in the collection [3].It has continued to develop, see e.g.[6].Minsky [ll] mentioned the need for something like nonmonotonic reasoning, but used this fact as evidence for the inadequacy of logic-based approaches to AI and the need for approaches not based on logic.This isn't how things have gone.Nonmonotonic reasoning has developed as a branch of mathematical logic, using * (MIT Press, Cambridge, MA, 1992); liii + 354 pages, $13.95.
John McCarthy 0001, Hubert L. Dreyfus
Artif. Intell.2
1986 Competent systems: The only future for inference-making computers
Hubert L. Dreyfus, Stuart Dreyfus
Future Gener. Comput. Syst.1