K. Cherkauer (1995).
Stuffing Mind into Computer: Knowledge and Learning for Intelligent Systems. Informatica, 19, pp. 501-511.

This publication is available in PDF and available in postscript.

Abstract:

The task of somehow putting mind into a computer is one that has been pursued by artificial intelligence researchers for decades, and though we are getting closer, we have not caught it yet. Mind is an incredibly complex and poorly understood thing, but we should not let this stop us from continuing to strive toward the goal of intelligent computers. Two issues that are essential to this endeavor are knowledge and learning. These form the basis of human intelligence, and most people believe they are fundamental to achieving similar intelligence in computers. This paper explores issues surrounding knowledge acquisition and learning in intelligent artificial systems in light of both current philosophies of mind and the present state of artificial intelligence research. Its scope ranges from the mundane to the (almost) outlandish, with the goal of stimulating serious thought about where we are, where we would like to go, and how to get there in our attempts to render an intelligence in silicon.

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