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80 405: Game Theory
9.00 Credits
Carnegie Mellon University
Game theory is the branch of decision theory in which decision problems interact. This course will cover those parts of game theory of special interest to social scientists and philosophers. We will discuss specific elements of the formal theory, including: the distinction between cooperative and non-cooperative games, games in the strategic and the extensive form, solution concepts, epistemic conditions needed to predict outcomes of games, equilibrium refinements, dynamical models of equilibrium selection, and folk theorems of indefinitely repeated games. We will discuss results in experimental economics that test some of the assumptions of classical game theory. Throughout the course we will examine applications of the formal concepts of game theory to problems in moral and political philosophy and the social sciences. Prerequisites: background either in decision theory, rational choice, probability, or statistics.
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80 405 - Game Theory
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80 411: Proof Theory
9.00 Credits
Carnegie Mellon University
This course is an introduction to Hilbert-style proof theory, where the goal is to represent mathematical arguments using formal deductive systems, and study those systems in syntactic, constructive, computational, or otherwise explicit terms. In the first part of the course, we will study various types of deductive systems (axiomatic systems, natural deduction, and sequent calculi) for classical, intuitionistic, and minimal logic. We will prove Gentzen's cut-elimination theorem, and use it to prove various theorems about first-order logic, including Herbrand's theorem, the interpolation theorem, the conservativity of Skolem axioms, and the existence and disjunction properties for intuitionistic logic. In the second part of the course, we will use these tools to study formal systems of arithmetic, including primitive recursive arithmetic, Peano arithmetic, and subsystems of second-order arithmetic. In particular, we will try to understand how mathematics can be formalized in these theories, and what types of information can be extracted using metamathematical techniques.
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80 411 - Proof Theory
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80 449: EHPP Project Course
12.00 Credits
Carnegie Mellon University
This course will be co-taught by one member of History and one of Philosophy, and be taken in the fall of the senior year by every EHPP major. The purpose of the course is to give students a serious opportunity to apply the concepts and knowledge they acquired in the major to single topic, in depth. For EHPP majors only.
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80 449 - EHPP Project Course
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80 495: Independent Study
3.00 Credits
Carnegie Mellon University
No course description available.
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80 495 - Independent Study
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80 501: Philosophy Senior Honors Thesis I
9.00 Credits
Carnegie Mellon University
Philosophy and Logic and Computation majors with outstanding academic records and intellectual promise will be given the opportunity to engage in original research under the direction of an individual faculty member. Research topics are selected by studen
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80 501 - Philosophy Senior Honors Thesis I
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80 502: Philosophy Senior Honors Thesis II
9.00 Credits
Carnegie Mellon University
Philosophy and Logic and Computation majors with outstanding academic records and intellectual promise will be given the opportunity to engage in original research under the direction of an individual faculty member. Research topics are selected by studen
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80 502 - Philosophy Senior Honors Thesis II
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80 511: Thesis Seminar
9.00 Credits
Carnegie Mellon University
This course provides a forum for the presentation and detailed discussion of research done by students, be they undergraduates working on their Senior Thesis or graduate students engaged with their M.S. thesis.
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80 511 - Thesis Seminar
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80 514: Categorical Logic Seminar
9.00 Credits
Carnegie Mellon University
This course focuses on applications of category theory in logic and computer science. A leading idea is functorial semantics, according to which a model of a logical theory is a set-valued functor on a category determined by the theory. This gives rise to a syntax-invariant notion of a theory and introduces many algebraic methods into logic, leading naturally to the universal and other general models that distinguish functorial from classical semantics. Such categorical models occur, for example, in denotational semantics. e.g. treating the lambda-calculus via the theory of Cartesian closed categories. Similarly, higher-order logic is treated categorically by the theory of topoi. Note: this course will begin with a 3 week refresher of basic category theory - CS students can start after immigration by reviewing on their own.
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80 514 - Categorical Logic Seminar
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80 515: Seminar on the Foundations of Statistics
9.00 Credits
Carnegie Mellon University
This coming Spring's Foundations of Statistics seminar (36-835 / 80-815) will focus on a recent translation/publication of de Finetti's lectures from 1979, "Philosophical Lectures on Probability." In these last lectures, de Finetti offers his reasons for, and statement of the subjective interpretation of probability, for which he is so well known.
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80 515 - Seminar on the Foundations of Statistics
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80 521: Seminar on Formal Epistemology
9.00 Credits
Carnegie Mellon University
Formal epistemology applies systematic mathematical models from logic, statistics, and computability theory to provide fresh perspectives on traditional epistemological questions regarding the nature of epistemic justification, vagueness, paradoxes of knowing, paradoxes of rationality, the nature of bounded rationality, and the connection between coherence, epistemic justification and truth. The course will critically examine published papers, many of which were presented at the Formal Epistemology Workshop in recent years.
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80 521 - Seminar on Formal Epistemology
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