David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Artificial Intelligence 47:3-30 (1991)
The objective of research in the foundations of Al is to explore such basic questions as: What is a theory in Al? What are the most abstract assumptions underlying the competing visions of intelligence? What are the basic arguments for and against each assumption? In this essay I discuss five foundational issues: (1) Core Al is the study of conceptualization and should begin with knowledge level theories. (2) Cognition can be studied as a disembodied process without solving the symbol grounding problem. (3) Cognition is nicely described in propositional terms. (4) We can study cognition separately from learning. (5) There is a single architecture underlying virtually all cognition. I explain what each of these implies and present arguments from both outside and inside Al why each has been seen as right or wrong.
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Debasis Patnaik (2015). Theorizing Change in Artificial Intelligence: Inductivising Philosophy From Economic Cognition Processes. [REVIEW] AI and Society 30 (2):173-181.
Lynette A. C. Hunter (1993). AI and Representation: A Study of a Rhetorical Context for Legitimacy. [REVIEW] AI and Society 7 (3):185-207.
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