Ian Hacking wrote that probability is a Janus-faced concept with one face looking toward the world and the other toward the mind. The face looking toward the world is central to laws and explanations in physics (especially quantum mechanics and statistical mechanics) and the special sciences. The face looking toward the mind is central to epistemology and decision theory. This conference concerns both aspects and especially their relation to each other. What is probability that it possesses both aspects? This three-day conference will focus on answering this and related questions.
There is no registration fee and attendance is open to all; however, RSVP is required. Please RSVP here before Oct 15, if you plan to attend. All are welcome!
General information is available here.
Conference Organizers
Barry Loewer (Rutgers)
Denise Dykstra (Rutgers)
Invited Participants
David Albert (Columbia)
Valia Allori (NIU)
Katie Elliott (UCLA)
Ned Hall (Harvard)
Carl Hoefer (Barcelona)
Jenann Ismael (Columbia)
Christopher Meacham (Amherst)
Wayne Myrvold (Western)
Richard Pettigrew (Bristol)
Jack Spencer (MIT)
Schedule Overview
(A detailed schedule is available here.)
Thursday, October 24
- 3:00 – 6:00: Metaphysics of Objective Probability: Ned Hall (Harvard); Jenann Ismael (Columbia).
Friday, October 25
- 9:00 – 9:50: Breakfast in the philosophy department
- 9:50 – 10:00: Welcome & Introductory Remarks (Barry Loewer)
- 10:00 – 1:00: Chance: Katie Elliott (UCLA); Christopher Meacham (Amherst).
- 1:00 – 2:30: Lunch
- 2:30 – 5:30: Probabilities in the Special Sciences: Carl Hoefer (Barcelona); Wayne Myrvold (Western Ontario).
Saturday, October 26
- 9:00 – 10:00: Breakfast in the philosophy department
- 10:00 – 1:00: Chance-Credence Principles: Richard Pettigrew (Bristol); Jack Spencer (MIT).
- 1:00 – 2:30: Lunch
- 2:30 – 5:30: Typicality and the Statistical Postulate: David Albert (Columbia); Valia Allori (NIU).
Please contact the conference organizers (LawsAndChanceProject@gmail.com) if you have any questions.
The workshop is funded by the National Science Foundation (SES-1921688) and is aimed at bringing together academics who study the notion of mathematical explanation from philosophical and from educational/psychological perspectives. The idea is to bring together philosophers of mathematics, epistemologists, psychologists, and mathematics educators, to discuss how developments in their own fields could meaningfully contribute to the work on mathematical explanation where their fields intersect. In particular, we want to explore the ways in which mathematical explanation engenders understanding, by focusing on (1) the relationship between different types of philosophical accounts of mathematical explanation, (2) educational approaches to the characterization of effective explanations in the mathematics classroom, and (3) work at the intersection of these two perspectives.
All speakers:
Mark Colyvan
University of Sydney
Matthew Inglis
Loughborough University
Marc Lange
University of North Carolina, Chapel Hill
Tania Lombrozo
Princeton University
Alexander Renkl
University of Freiburg
Keith Weber
Rutgers University – New Brunswick
Orit Zaslavsky
New York University
Professor Williamson will give 3 lectures: September 19, 21, and 23. All will take place in AB-2400 [East Wing] from 4:30-6:30pm.
The lectures will discuss problems in the methodology of contemporary philosophy. Although philosophy without use of counterexamples would be a disaster, the way they are currently handled is naïve. In particular, it is too vulnerable to fake counterexamples generated by more or less universal human heuristics.
Lecture One: Heuristics [9/19]
Human cognition, from sense perception to abstract reflection, frequently employs heuristics, quick, easy, efficient, and imperfectly reliable ways of solving problems. To a neglected extent, philosophical problems and paradoxes from reliance on the outputs of fallible heuristics. This will be illustrated with examples involving vagueness, conditionals, belief ascription, truth and falsity, and reasons aggregation. Potential lessons for philosophical method will be discussed.
Lecture Two: Overfitting [9/21]
Overfitting is a well-recognized methodological problem in natural science, where use of models with too many degrees of freedom leads to unstable theorizing and failure to detect errors in the data. Overfitting is also a major but ill-recognized methodological problem in philosophy, exacerbated by its reliance on heuristics. General intellectual tendencies conducive to overfitting in philosophy will be discussed.
Lecture Three: Hyperintensionality [9/23]
The ‘hyperintensional revolution’ proclaims that central metaphysical distinctions cannot be captured in modal terms since they are sensitive to differences between necessary equivalents. Such hyperintensionalism fits the profile of overfitting. It is motivated by case judgments that are explicable as results of a fallible heuristic and it leads to models with too many degrees of freedom.
Professor Williamson will give 3 lectures: September 19, 21, and 23. All will take place in AB-2400 [East Wing] from 4:30-6:30pm.
The lectures will discuss problems in the methodology of contemporary philosophy. Although philosophy without use of counterexamples would be a disaster, the way they are currently handled is naïve. In particular, it is too vulnerable to fake counterexamples generated by more or less universal human heuristics.
Lecture One: Heuristics [9/19]
Human cognition, from sense perception to abstract reflection, frequently employs heuristics, quick, easy, efficient, and imperfectly reliable ways of solving problems. To a neglected extent, philosophical problems and paradoxes from reliance on the outputs of fallible heuristics. This will be illustrated with examples involving vagueness, conditionals, belief ascription, truth and falsity, and reasons aggregation. Potential lessons for philosophical method will be discussed.
Lecture Two: Overfitting [9/21]
Overfitting is a well-recognized methodological problem in natural science, where use of models with too many degrees of freedom leads to unstable theorizing and failure to detect errors in the data. Overfitting is also a major but ill-recognized methodological problem in philosophy, exacerbated by its reliance on heuristics. General intellectual tendencies conducive to overfitting in philosophy will be discussed.
Lecture Three: Hyperintensionality [9/23]
The ‘hyperintensional revolution’ proclaims that central metaphysical distinctions cannot be captured in modal terms since they are sensitive to differences between necessary equivalents. Such hyperintensionalism fits the profile of overfitting. It is motivated by case judgments that are explicable as results of a fallible heuristic and it leads to models with too many degrees of freedom.
Professor Williamson will give 3 lectures: September 19, 21, and 23. All will take place in AB-2400 [East Wing] from 4:30-6:30pm.
The lectures will discuss problems in the methodology of contemporary philosophy. Although philosophy without use of counterexamples would be a disaster, the way they are currently handled is naïve. In particular, it is too vulnerable to fake counterexamples generated by more or less universal human heuristics.
Lecture One: Heuristics [9/19]
Human cognition, from sense perception to abstract reflection, frequently employs heuristics, quick, easy, efficient, and imperfectly reliable ways of solving problems. To a neglected extent, philosophical problems and paradoxes from reliance on the outputs of fallible heuristics. This will be illustrated with examples involving vagueness, conditionals, belief ascription, truth and falsity, and reasons aggregation. Potential lessons for philosophical method will be discussed.
Lecture Two: Overfitting [9/21]
Overfitting is a well-recognized methodological problem in natural science, where use of models with too many degrees of freedom leads to unstable theorizing and failure to detect errors in the data. Overfitting is also a major but ill-recognized methodological problem in philosophy, exacerbated by its reliance on heuristics. General intellectual tendencies conducive to overfitting in philosophy will be discussed.
Lecture Three: Hyperintensionality [9/23]
The ‘hyperintensional revolution’ proclaims that central metaphysical distinctions cannot be captured in modal terms since they are sensitive to differences between necessary equivalents. Such hyperintensionalism fits the profile of overfitting. It is motivated by case judgments that are explicable as results of a fallible heuristic and it leads to models with too many degrees of freedom.