David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
The mid-twentieth century saw the introduction of a new general model of processes, COMPUTATION, with the work of scientists such as Turing, Chomsky, Newell and Simon.1 This model so revolutionized the intellectual world that the dominant scientific programs of the day—spearheaded by such eminent scientists as Hilbert, Bloomfield and Skinner—are today remembered as much for the way computation exposed their stark limitations as for their positive contributions.2 Ever since, the field of Artificial Intelligence (AI) has defined itself as the subfield of computer science dedicated to the understanding of intelligent entities as computational processes. Now, drawing on fifty years of results of increasing breadth and applicability, we can also characterize AI research as a concrete practice: an ENGINEER-.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Gordana Dodig-Crnkovic (2013). Cognitive Revolution, Virtuality and Good Life. AI and Society 28 (3):319-327.
Johannes Brinkmann (2009). Putting Ethics on the Agenda for Real Estate Agents. Journal of Business Ethics 88 (1):65 - 82.
Robert French (2000). The Turing Test: The First Fifty Years. Trends in Cognitive Sciences 4 (3):115-121.
Hubert L. Dreyfus (1985). From Socrates to Expert Systems: The Limits and Dangers of Calculative Rationality. In Carl Mitcham & Alois Huning (eds.), Philosophy and Technology II: Information Technology and Computers in Theory and Practice. Reidel.
Mr Peter R. Krebs, Smoke Without Fire: What Do Virtual Experiments in Cognitive Science Really Tell Us?
Aaron Sloman (1996). Beyond Turing Equivalence. In Peter Millican Andy Clark (ed.), Machines and Thought The Legacy of Alan Turing. Oxford University Press. 1--179.
Michael Kary & Martin Mahner (2002). How Would You Know If You Synthesized a Thinking Thing? Minds and Machines 12 (1):61-86.
Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
Added to index2009-01-28
Total downloads13 ( #120,259 of 1,100,751 )
Recent downloads (6 months)1 ( #289,565 of 1,100,751 )
How can I increase my downloads?