Dreyfus was born on 15 October 1929, in Terre Haute, Indiana, to Stanley S. and Irene (Lederer) Dreyfus.[7][8]
He attended Harvard University from 1947.[9] With a senior honors thesis on Causality and Quantum Theory (for which W. V. O. Quine was the main examiner)[9] he was awarded a B.A.summa cum laude in 1951[8] and joined Phi Beta Kappa.[10] He was awarded a M.A. in 1952.[8][10] He was a Teaching Fellow at Harvard in 1952-1953 (as he was again in 1954 and 1956).[11] Then, on a Harvard Sheldon traveling fellowship, Dreyfus studied at the University of Freiburg over 1953–1954.[10] During this time he had an interview with Martin Heidegger.[9]Sean D. Kelly records that Dreyfus found the meeting 'disappointing.'[12] Brief mention of it was made by Dreyfus during his 1987 BBC interview with Bryan Magee in remarks that are revealing of both his and Heidegger's opinion of the work of Jean-Paul Sartre.[13][6]
From 1960, first as an instructor, then as an assistant and then associate professor, Dreyfus taught philosophy at the Massachusetts Institute of Technology (MIT).[8] In 1964, with his dissertation Husserl's Phenomenology of Perception, he obtained his Ph.D. from Harvard.[10][15] (Due to his knowledge of Husserl, Dagfinn Føllesdal sat on the thesis committee but he has asserted that Dreyfus "was not really my student.")[16] That same year, his co-translation (with his first wife) of Sense and Non-Sense by Maurice Merleau-Ponty was published.[7]
Also in 1964, and whilst still at MIT, he was employed as a consultant by the RAND Corporation to review the work of Allen Newell and Herbert A. Simon in the field of artificial intelligence (AI).[9] This resulted in the publication, in 1965, of the "famously combative" Alchemy and Artificial Intelligence, which proved to be the first of a series of papers and books attacking the AI field's claims and assumptions.[17][18] The first edition of What Computers Can't Do would follow in 1972, and this critique of AI (which has been translated into at least ten languages) would establish Dreyfus's public reputation.[9] However, as the editors of his Festschrift noted: "the study and interpretation of 'continental' philosophers... came first in the order of his philosophical interests and influences."[9]
Berkeley
In 1968, although he had been granted tenure, Dreyfus left MIT and became an associate professor of philosophy at the University of California, Berkeley,[8][10] (winning, that same year, the Harbison Prize for Outstanding Teaching).[3] In 1972 he was promoted to full professor.[8][10] Though Dreyfus retired from his chair in 1994, he continued as professor of philosophy in the Graduate School (and held, from 1999, a joint appointment in the rhetoric department).[3] He continued to teach philosophy at UC Berkeley until his last class in December 2016.[3]
Dreyfus was elected a fellow of the American Academy of Arts and Sciences in 2001.[19] He was also awarded an honorary doctorate for "his brilliant and highly influential work in the field of artificial intelligence" and his interpretation of twentieth century continental philosophy by Erasmus University.[3]
Dreyfus' critique of artificial intelligence (AI) concerns what he considers to be the four primary assumptions of AI research. The first two assumptions are what he calls the "biological" and "psychological" assumptions. The biological assumption is that the brain is analogous to computer hardware and the mind is analogous to computer software. The psychological assumption is that the mind works by performing discrete computations (in the form of algorithmic rules) on discrete representations or symbols.
Dreyfus claims that the plausibility of the psychological assumption rests on two others: the epistemological and ontological assumptions. The epistemological assumption is that all activity (either by animate or inanimate objects) can be formalized (mathematically) in the form of predictive rules or laws. The ontological assumption is that reality consists entirely of a set of mutually independent, atomic (indivisible) facts. It's because of the epistemological assumption that workers in the field argue that intelligence is the same as formal rule-following, and it's because of the ontological one that they argue that human knowledge consists entirely of internal representations of reality.
On the basis of these two assumptions, workers in the field claim that cognition is the manipulation of internal symbols by internal rules, and that, therefore, human behaviour is, to a large extent, context free (see contextualism). Therefore, a truly scientificpsychology is possible, which will detail the 'internal' rules of the human mind, in the same way the laws of physics detail the 'external' laws of the physical world. However, it is this key assumption that Dreyfus denies. In other words, he argues that we cannot now (and never will be able to) understand our own behavior in the same way as we understand objects in, for example, physics or chemistry: that is, by considering ourselves as things whose behaviour can be predicted via 'objective', context free scientific laws. According to Dreyfus, a context-free psychology is a contradiction in terms.
Dreyfus's arguments against this position are taken from the phenomenological and hermeneutical tradition (especially the work of Martin Heidegger). Heidegger argued that, contrary to the cognitivist views (on which AI has been based), our being is in fact highly context-bound, which is why the two context-free assumptions are false. Dreyfus doesn't deny that we can choose to see human (or any) activity as being 'law-governed', in the same way that we can choose to see reality as consisting of indivisible atomic facts... if we wish. But it is a huge leap from that to state that because we want to or can see things in this way that it is therefore an objective fact that they are the case. In fact, Dreyfus argues that they are not (necessarily) the case, and that, therefore, any research program that assumes they are will quickly run into profound theoretical and practical problems. Therefore, the current efforts of workers in the field are doomed to failure.
Dreyfus argues that to get a device or devices with human-like intelligence would require them to have a human-like being-in-the-world and to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. (This view is shared by psychologists in the embodied psychology (Lakoff and Johnson 1999) and distributed cognition traditions. His opinions are similar to those of robotics researchers such as Rodney Brooks as well as researchers in the field of artificial life.)
Contrary to a popular misconception, Dreyfus never predicted that computers would never beat humans at chess. In Alchemy and Artificial Intelligence, he only reported (correctly) the state of the art of the time: "Still no chess program can play even amateur chess."[18][20][21]
Daniel Crevier writes: "time has proven the accuracy and perceptiveness of some of Dreyfus's comments. Had he formulated them less aggressively, constructive actions they suggested might have been taken much earlier."[22]
Webcasting philosophy
When UC Berkeley and Apple began making a selected number of lecture classes freely available to the public as podcasts beginning around 2006, a recording of Dreyfus teaching a course called "Man, God, and Society in Western Literature – From Gods to God and Back" rose to the 58th most popular webcast on iTunes.[23] These webcasts have attracted the attention of many, including non-academics, to Dreyfus and his subject area.[24]
1991. Being-in-the-World: A Commentary on Heidegger's Being and Time, Division I.Cambridge, Massachusetts: MIT Press. ISBN0-262-54056-8, ISBN978-0-262-54056-8
2017 Background Practices: Essays on the Understanding of Being, Mark A. Wrathall (ed.), Oxford University Press, ISBN9780198796220[30]
Festschrift
2000. Heidegger, Authenticity, and Modernity: Essays in Honor of Hubert Dreyfus, Volume 1. Cambridge, Massachusetts: MIT Press. ISBN0-262-73127-4.[31]
2000. Heidegger, Coping, and Cognitive Science: Essays in Honor of Hubert L. Dreyfus, Volume 2. Cambridge, Massachusetts: MIT Press. ISBN0-262-73128-2[31][32]
^Magee, Bryan (1988). The Great Philosophers: An Introduction to Western Philosophy. Oxford, New York: Oxford University Press. pp. 275. ISBN9780192822017. OL2043183M. Sartre started out as a Husserlian, and as a phenomenologist he wrote a good novel called Nausea, which is a first-person description of a person's world breaking down. Then he read Heidegger and was converted to what he thought was Heideggerian existentialism. But as a Husserlian and a Frenchman he felt he had to fix up Heidegger and make him more Cartesian. So he starts with the individual conscious subject, but writes about Death, Anxiety, lnauthenticity, Being and Nothing - all the things that Heidegger talks about. The result, Being and Nothingness, is a brilliant misunderstanding of Being and Time. If the story that we've been telling is right, Heidegger was precisely trying to free us from our Cartesian assumptions. When I went to visit Heidegger he had Being and Nothingness on his desk, in German translation, and I said, 'So you're reading Sartre?, and he responded, 'How can I even begin to read this muck?' (His word was 'Dreck'.) That's pretty strong, but I think accurate, since if you treat Heidegger as if he were talking about subjects you turn him back into Husserl.
^Dreyfus, Hubert L.; Broderick, James H. (1957-06-01). "Curds and Lions in Don Quijote a Study of Chapter 17, Book II". Modern Language Quarterly. 18 (2): 100–106. doi:10.1215/00267929-18-2-100. ISSN0026-7929.
^Dreyfus, Hubert L (1963). Husserl's phenomenology of perception: from transcendental to existential phenomenology (Thesis). OCLC18179097.
^Dreyfus, Hubert L.; Dreyfus, Stuart E. (1988). Mind over machine: the power of human intuition and expertise in the era of the computer (2nd paperback ed.). New York: The Free Press. p. 112. ISBN978-0-02-908061-0.{{cite book}}: CS1 maint: date and year (link)
^Dreyfus, Hubert L. (1992). What computers still can't do: a critique of artificial reason. Cambridge, Mass: MIT Press. pp. 317, n.45. ISBN978-0-262-04134-8.
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