Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer
- H. Dreyfus, S. Dreyfus
- PsychologyIEEE Expert
- 1987
The authors, one a philosopher and the other a computer scientist, argue that even highly advanced systems only correspond to the very early stages of human learning and that there are many human skills that computers will never be able to emulate.
A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition
- S. Dreyfus, H. Dreyfus
- Psychology
- 1 February 1980
Abstract : In acquiring a skill by means of instruction and experience, the student normally passes through five developmental stages which we designate novice, competence, proficiency, expertise and…
Michel Foucault: Beyond Structuralism and Hermeneutics
- H. Dreyfus, P. Rabinow
- Art
- 1 September 1983
In preparing this edition, Dreyfus and Rabinow added not only the interview with Foucalt - "On the Genealogy of Ethics: An Overview of Work in Progress" - but also a new chapter on the books Foucalt…
Being-in-the-World: A Commentary on Heidegger's Being and Time.
- S. Crowell, H. Dreyfus
- Philosophy, Art
- 14 December 1990
Being-in-the-World is a guide to one of the most influential philosophical works of this century: Division I of Part One of Being and Time, where Martin Heidegger works out an original and powerful…
What computers still can't do - a critique of artificial reason
- H. Dreyfus
- Art
- 1 October 1992
For this edition of What Computers Can't Do, Hubert Dreyfus has added a lengthy new introduction outlining changes and assessing the paradigms of connectionism and neural networks that have transformed the field.
Intelligence without representation – Merleau-Ponty's critique of mental representation The relevance of phenomenology to scientific explanation
- H. Dreyfus
- Psychology, Philosophy
- 1 December 2002
Existential phenomenologists hold that the two most basic forms of intelligent behavior, learning, and skillful action, can be described and explained without recourse to mind or brain…
Why Heideggerian AI Failed and How Fixing it Would Require Making it More Heideggerian
- H. Dreyfus
- PhilosophyArtificial Intelligence
- 1 April 2007
As I studied the RAND papers and memos, I found to my surprise that, far from replacing philosophy, the pioneers in CS and AI had learned a lot, directly and indirectly from the philosophers.
What Computers Still Can't Do
- J. McCarthy, H. Dreyfus
- PhilosophyArtificial Intelligence
- 1996
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