In Memoriam: Henry E. Kyburg Jr. 1928–2007
University of Rochester press release
Obituary at Rochester Computer Science department
1928. Ph. D. (1955) (Philosophy) Columbia. Assistant Professor (Mathematics)
Wesleyan University (58-61). Research Associate, Rockefeller Institute
(61-62). Associate Professor (Mathematics and Philosophy) University of
Denver, (62-63). Associate Professor (Philosophy) Wayne State University
(63-65). Professor (Philosophy) University of Rochester (65-present);
Burbank Professor of Moral and Intellectual Philosophy (82-present); Professor
of Computer Science (86-present); Fellow American Association for the
Advancement of Science (1982); Fellow American Academy of Arts and Sciences
Both we and our machines
must be able to take account of uncertainty, for reasoning, for planning,
in knowledge representation. Dealing with uncertainty raises a number
of fundamental questions:
How do you best represent
uncertainty in a formal framework? Various suggestions have been made;
it is turning out to be the case that most are reducible to probabilistic
measures. Is probability objective or subjective? Purely subjective
views of probability are of questionable use; but objective logical
views are not yet well developed. That is a task we are currently working
Not only do we want to represent
uncertainty in a fixed body of knowledge, but we want to use new evidence
to update those probabilities. Various updating procedures have been
proposed. Analysis reveals that they have much in common, but efficient
updating is still a goal we are working on.
Finally, the reason for
the intelligent use of uncertainty is for making decisions. But the
appropriate decision theory depends on the treatment of uncertainty,
and so is also an active area of research.
- Henry E. Kyburg, Jr. The
Logical Foundations of Statistical Inference, Reidel, Dordrecht,
- Henry E. Kyburg, Jr. The
Reference Class. Philosophy of Science 50, 374-397, 1983.
- Henry E. Kyburg, Jr. Theory
and Measurement, Cambridge University Press, 1984.
- Henry E. Kyburg, Jr. Bayesian
and Non-bayesian Evidential Updating. AI Journal 31,
- Henry E. Kyburg, Jr. Science
and Reason, Oxford University Press, 1990.
- Henry E. Kyburg, Jr. Believing
on the Basis of Evidence, Computational Intelligence
10, 1994, pp. 3-21, 107-115.
- Henry E. Kyburg, Jr.
Uncertain inferences and uncertain conclusions. Twelfth
Conference on Uncertainty in Artificial Intelligence, pages
- Henry E. Kyburg, Jr. Combinatorial
semantics: Semantics for frequent validity. Computational
Intelligence, to appear.
list of publications is also available.
My research group pursues a
diverse range of topics on uncertain