Note: this is the web page for the 2008 program. For the current web page, click here.
Overview
There is a long tradition of fruitful interaction between
philosophy and the sciences. Logic and statistics emerged, historically, from
combined philosophical and scientific inquiry into the nature of mathematical
and scientific inference; and the modern conceptions of psychology, linguistics,
and computer science are the results of sustained reflection on the nature
of mind, language, and computation. In today's climate of disciplinary specialization,
however, foundational reflection is becoming increasingly rare. As a result,
developments in the sciences are often conceptually ill-founded, and philosophical
debates often lack scientific substance.
In 2008, the Department
of Philosophy at Carnegie Mellon University
will hold a three-week summer school in logic and formal epistemology
for promising undergraduates in philosophy, mathematics, computer science,
linguistics, and other sciences. The goals are to
The summer school will be held from Monday, June 9
to Friday, June 27, 2008. There will be morning and afternoon lectures
and daily problem sessions, as well as planned outings and social events.
The summer school is free. That is, we will provide: |
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So students need only pay for round trip travel to Pittsburgh and living
expenses while here. There are no grades, and the courses do not provide formal
course credit.
Note: in 2006 and 2007, the summer school received substantial support from the National Science
Foundation. This year we do not have NSF support, and so we cannot accept as many students as we
have in the past.
Applications are due by March 15, 2008.
Please help us spread the word. There is a flyer
that is suitable for distributing, framing, or hanging on an office door,
and a plain-text announcement.
Topics
This year's topics are:
Causal and Statistical Inference
Monday, June 9 to Friday, June 13
Instructor: David Danks
As forcefully argued by Hume, causal learning poses a distinctive epistemological
problem: how do we determine what factors causally influence other factors given that
we only observe sequences of events? The problem of causal inference, particularly
from statistical data, is a central methodological challenge within most of the sciences.
Over the past twenty years, philosophers, statisticians, and computer scientists have
developed a formalism -- causal Bayes nets -- for representing causal structures and
solving problems of causal and statistical inference. In this component of the summer school,
we will introduce this formalism, and explore how it can be used to solve various philosophical
problems of causal and statistical inference, as well as various scientific problems.
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Semantics and Discourse Representation
Monday, June 16 to Friday, June 20
Instructor: Mandy Simons
Formal approaches to the analysis of linguistic meaning have traditionally taken the sentence to
be the basic unit of analysis. In the 1980's, semantic work on cross-sentential anaphora and binding
led to the development of a very different approach which has come to be known as dynamic semantics.
Dynamic semantic frameworks differ from traditional formalisms for the representation of linguistic
meaning in two central ways: First, they allow for the representation of semantic relations between
sentences in a discourse; second, they represent the meaning of a sentence as an update function on
an existing context, rather than as a set of truth conditions. In this component of the summer school,
we will introduce Discourse Representation Theory, and explore the treatment of a variety of semantic
phenomena within this framework.
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Logic and Formal Verification
Monday, June 23 to Friday, June 27
Instructor: Jeremy Avigad
Since the early twentieth century, it has been understood that mathematical arguments can be
represented in formal axiomatic theories, at least in principle. Until recently, however, spelling
out the basic logical inferences underlying even elementary mathematical arguments was too difficult
to carry out in practice. With the advent of computational "proof assistants" the situation has
changed, and such systems are now being used to verify the both the correctness of mathematical proofs
and the correctness of hardware and software design. In this component of the summer school, we will
consider some of the logical and computational mechanisms that have been developed to support these
efforts, and experiment with the Isabelle proof assistant.
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How to apply
The summer school is open to undergraduates, as well as to students who will have just received their undergraduate degrees.
We regret that we cannot extend the invitation to student beyond their first year of graduate school.
Applicants need not be US citizens. There is a $20 nonrefundable application fee.
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All application materials need to be received the Philosophy Department by March 15, 2008.
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By March 31, 2008, applicants will be informed of the
admissions decisions and of other details relating to the Summer School.
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Applicants who are admitted will be asked to confirm
their planned attendance by April 15, 2008.
To apply:
Fill out the online application form.
Send us a transcript from your current academic
institution. Transcripts in electronic format (such as PDF) may be sent by e-mail to the address below.
Have someone who can comment on your academic abilities write a letter of recommendation. The letter may be short and informal,
and may be sent by e-mail to the address below.
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Pay the $20 application fee, preferrably using our online payment form. Alternatively, you may send a check or an international
money order to the address below. Checks should be made payable to "Carnegie Mellon University."
Materials may be sent by e-mail to
phil-summerschool@andrew.cmu.edu
or by mail to
Summer School in Logic and Formal Epistemology
Department of Philosophy
Baker Hall 135
Carnegie Mellon University
Pittsburgh, PA 15213-3890
Additional information
The summer school was launched in 2006 with funding from the National Science Foundation. You may also view:
Inquiries may be directed to Jeremy Avigad (avigad@cmu.edu).
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