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 (1985)
| Abstract | Actual AI research began auspiciously around 1955 with Allen Newell and Herbert Simon's work at the RAND Corporation. Newell and Simon proved that computers could do more than calculate. They demonstrated that computers were physical symbol systems whose symbols could be made to stand for anything, including features of the real world, and whose programs could be used as rules for relating these features. In this way computers could be used to simulate certain important aspects intelligence. Thus the information-processing model of the mind was born. But, looking back over these fifty years, it seems that theoretical AI with its promise of a robot like HAL appears to be a perfect example of what Imre Lakatos has called a "degenerating research program" | |||||||||
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Fernand Gobet & Philippe Chassy (2009). Expertise and Intuition: A Tale of Three Theories. Minds and Machines 19 (2):151-180.
Philip Brey (2005). The Epistemology and Ontology of Human-Computer Interaction. Minds and Machines 15 (3-4).
Emma Rooksby (2009). How to Be a Responsible Slave: Managing the Use of Expert Information Systems. Ethics and Information Technology 11 (1).
Ronald Stamper, James Backhouse & Karl Althaus (1987). Expert Systems: Lawyers Beware! Theoria 3 (1):317-340.
Vinod Goel (1991). Notationality and the Information Processing Mind. Minds and Machines 1 (2):129-166.
Willard Downs & Kelley Ann Newton (1989). Legal Implications in Development and Use of Expert Systems in Agriculture. Journal of Agricultural and Environmental Ethics 2 (1):53-58.
Omar E. M. Khalil (1993). Artificial Decision-Making and Artificial Ethics: A Management Concern. Journal of Business Ethics 12 (4):313 - 321.
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