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- [Bobrow1993] Artificial Intelligence in
Take a look at this article and browse through
this great volume of AIJ.
- [Lenat and
Feigenbaum1991] On the thresholds of knowledge.
A general view with many interesting
hypotheses in AI. Note that the physical symbol system
hypothesis is wrong as stated.
- [McCarthy1981] Some epistemological problems in AI.
An old (original version from 1977) but still relevant paper that
representational challenges, many of which still have not been
- [Brooks1991] Intelligence without representation.
Brooks argues that intelligent entities can be constructed without
making use of explicit representations of knowledge.
- [Guha and Lenat1990] Cyc: a midterm report.
Computers need common sense to prevent brittleness and for semantic
disambiguation. CYC is an attempt to create a large commonsense
knowledgebase spanning human knowledge. This report describes
some lessons learned over the first five years and looks at plans
and expectations for the next five years.
- [Turing1963] Computing Machinery and Intelligence.
Turing's vision from 1950 is amazing. He foresees logical inference,
control of search, and learning as important tasks to tackle.
- [McCarthy1985] Programs with common sense.
McCarthy outlines his vision (in 1959) for an `Advice Taker'
performance could be improved by receiving advice during the course of
its actions. He argues for the use of a declarative representation of
information in this program.
- [Hayes1985] The second naive physics manifesto.
An interesting exposé of the difficulties involved in formalizing
commonsense reasoning. The paper is somewhat long; skim it for an
understanding of the naive physics enterprise.
Sun Apr 27 16:02:41 PDT 1997