Faculty
Professor and Director of the Center for Formal Epistemology
Baker Hall 135K
412.268.8567
kk3n@andrew.cmu.edu
Research Interests
I am mainly interested in how scientific method could
possibly
lead us to true generalizations about Nature; generalizations that
extend infinitely beyond our current, finite perspective. Standard
philosophy of science sidesteps this question by asking, instead, about
the
meanings of "justification" and "rationality" a different
matter entirely. I put the former question front and center, so that
methodological normativity must be traced back to truth-finding
efficacy, rather than to sociological generalizations about scientific
practice. In this respect, my approach to epistemology closely
parallels work in theoretical computer science and the foundations of
mathematics, in which the central question is existence of a reliable
procedure for finding the right answer to a question. The shift in
emphasis results in a fresh, new perspective on a number of standard
issues in epistemology and the philosophy of science, such as:
- Ockham's
razor and realism (NSF project page)
- How rationality can impede the search for truth
- The logic of discovery
- Goodman's new riddle of induction
- Underdetermination and uncomputability
- A defense of infinite epistemic regress
- Belief revision
- Relativism and convergent realism
- Causal inference
- Distinguishing chaos from non-chaos
- Epistemic logic
I have side interests in the philosophy of religion and
eastern philosophy.
Selected Publications
- (with Conor Mayo-Wilson) "Ockham
Efficiency Theorem for Random Empirical Methods", under review at
Journal of Philosophical Logic.
- "Simplicity,
Truth, and Probability", in Handbook for the Philosophy of
Statistics, Prasanta S. Bandyopadhyay and Malcolm Forster eds.,
Dordrecht: Elsevier. 2010.
- (with Conor Mayo-Wilson) "Review of Reliable
Reasoning: Induction and Statistical Learning theory" by Gilbert
Harman and Sanjeev Kulkarni, http://ndpr.nd.edu/board.cfm, 2008.
- "Ockham’s Razor,
Truth, and Information", in Handbook of the Philosophy of
Information, J. van Behthem and P. Adriaans, Dordrecht: Elsevier 2008.
- "Ockham’s Razor,
Empirical Complexity, and Truth-finding Efficiency",
Theoretical Computer Science, 383: 270-289, 2007.
- "Simplicity, Truth, and the
Unending Game of Science", in Infinite Games: Foundations of the
Formal Sciences V. S. Bold, B. Loewe, T. Raesch, J. van Benthenm,
eds. Roskilde: College Press 2007 pp. 223-270.
- "How
Simplicity Helps You Find the Truth Without Pointing
at it",in Philosophy of Mathematics and Induction,
V. Harazinov, M. Friend, and N. Goethe, Dordrecht: Springer, 2007.
- "How
to Do Things with an Infinite Regress",in Philosophy
of Mathematics and Induction, V. Harazinov, M. Friend, and N.
Goethe, Dordrecht: Springer, 2007.
- "Justification as
Truth-finding Efficiency: How Ockham's Razor Works", Minds and
Machines 14: 2004, pp. 485-505.
- "Uncomputability: The
Problem of Induction Internalized," Theoretical Computer Science,
pp. 317: 2004, 227-249.
- "Why
Probability Does Not Capture the Logic of Scientific Justification",
in Christopher Hitchcock, ed., Contemporary Debates in the
Philosophy of Science, London: Blackwell, 2004.
- "Learning Theory and
Epistemology", in Handbook of Epistemology, I.
Niiniluoto, M. Sintonen, and J. Smolenski, eds. Dordrecht:
Kluwer, 2004.
- "The Logic of Success",
British Journal for the Philosophy of Science, special
millennium issue, 51, 2001, 639-666.
- Reprinted in Philosophy of Science Today, P. Clark and K.
Hawley eds., Oxford: Oxford University Press, 2004.
- "Efficient Convergence
Implies Ockham's Razor", Proceedings of the 2002 International
Workshop on Computational Models of Scientific Reasoning and
Applications, Las Vegas, USA, June 24-27, 2002.
- "A Close Shave with Realism:
Ockham's Razor Derived from Efficient Convergence", completed
manuscript.
- "Naturalism Logicized",
in After Popper, Kuhn and Feyerabend: Current Issues in
Scientific Method, R. Nola and H. Sankey, eds, 34 Dordrecht:
Kluwer, 2000, pp. 177-210.
- "Iterated Belief Revision,
Reliability, and Inductive Amnesia," Erkenntnis, 50, 1998
pp. 11-58.
- "The Learning Power of Iterated
Belief Revision", in Proceedings of the Seventh TARK
Conference Itzhak Gilboa, ed., 1998, pp. 111-125.
- "Iterated Belief Revision,
Reliability, and Inductive Amnesia," Erkenntnis, 50, 1998
pp. 11-58.
- (with O. Schulte and V.
Hendricks) "Reliable Belief Revision", in Logic and Scientfic
Methods, M. L. Dalla Chiara, et al., eds. Dordrecht: Kluwer,
1997.
- (with O. Schulte and C. Juhl)
"Learning Theory and the Philosophy of Science", Philosophy of
Science 64: 1997, pp. 245-267.
- (with O. Schulte) "Church's
Thesis and Hume's Problem," in Logic and Scientific
Methods, M. L. Dalla Chiara, et al., eds. Dordrecht: Kluwer, 1997,
pp. 383-398.
- The
Logic of Reliable
Inquiry, Oxford: Oxford University Press, 1996.
[HTML file containing analytical table of contents only]
- (with
O. Schulte) "The Computable Testability of Theories with
Uncomputable Predictions", Erkenntnis 43: 29-66,
1995,
29-66. Reviewed
in the Journal of Symbolic Logic.
- (with H. Lin) "A Geological Solution to the Lottery
Paradox", forthcoming, Synthese.
Courses
Undergraduate
- 80-105: Freshman Seminar on Mysticism
- 80-120: Reflections on Science
- 80-201: Epistemology
- 80-202: Metaphysics
- 80-210: Self-paced Introduction to Logic
- 80-220: Philosophy of Science
- 80-251: Ancient Philosophy
- 80-252: Medieval Philosophy
- 80-252: History of Modern Philosophy
- 80-265: Philosophy of Religion
- 80-310: Logic and Computability
- 80-311: Logic and Artificial Intelligence
- 80-311: Goedel and Undecidability
- 80-312: Probability and Artificial Intelligence
Graduate
- 80-812: Seminar on Formal Learning Theory
- 80-411/711: Computability and Learnibility
- 80-411/711: Descriptive Set Theory
- 80-518: Epistemology Seminar
- 80-602: Proseminar
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