Foundations of AI: The big issues

Artificial Intelligence 47 (1-3):3-30 (1991)
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Abstract

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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David Kirsh
University of California, San Diego

Citations of this work

Embodied cognition: A field guide.Michael L. Anderson - 2003 - Artificial Intelligence 149 (1):91-130.
The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
How minds can be computational systems.William J. Rapaport - 1998 - Journal of Experimental and Theoretical Artificial Intelligence 10 (4):403-419.

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References found in this work

Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
Today the earwig, tomorrow man?David Kirsh - 1991 - Artificial Intelligence 47 (1-3):161-184.
Why am and eurisko appear to work.Douglas B. Lenat & John Seely Brown - 1984 - Artificial Intelligence 23 (3):269-294.

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