printer friendly pagePHIL 80: Mind, Matter, and Meaning
We'll cover three central topics in philosophy: personal identity; the metaphysics of mind; and the nature of belief. Readings will be drawn both from philosophy and from cognitive science more broadly. This is an intensive writing course that satisfies the writing in the major requirement for both Philosophy and Symbolic Systems. Students will submit five papers over the course of the quarter, and receive constructive feedback on each. Prerequisite: at least one other philosophy course, not including
SYMSYS 1 /
PHIL 99.
Terms: Aut, Spr
| Units: 5
| UG Reqs: GER:DB-Hum, WAY-A-II
Instructors:
Briggs, R. (PI)
;
Peacocke, A. (PI)
;
Ha, J. (TA)
;
Kang, S. (TA)
;
Kemmann, B. (TA)
;
McKinnon, J. (TA)
SYMSYS 112: Challenges for Language Systems (SYMSYS 212)
Parallel exploration of philosophical and computational approaches to modeling the construction of linguistic meaning. In philosophy of language: lexical sense extension, figurative speech, the semantics/pragmatics interface, contextualism debates. In CS: natural language understanding, from formal compositional models of knowledge representation to statistical and deep learning approaches. We will develop an appreciation of the complexities of language understanding and communication; this will inform discussion of the broader prospects for Artificial Intelligence. Special attention will be paid to epistemological questions on the nature of linguistic explanation, and the relationship between theory and practice. PREREQUISITES:
PHIL80; some exposure to philosophy of language and/or computational language processing is recommended.
Last offered: Autumn 2017
SYMSYS 212: Challenges for Language Systems (SYMSYS 112)
Parallel exploration of philosophical and computational approaches to modeling the construction of linguistic meaning. In philosophy of language: lexical sense extension, figurative speech, the semantics/pragmatics interface, contextualism debates. In CS: natural language understanding, from formal compositional models of knowledge representation to statistical and deep learning approaches. We will develop an appreciation of the complexities of language understanding and communication; this will inform discussion of the broader prospects for Artificial Intelligence. Special attention will be paid to epistemological questions on the nature of linguistic explanation, and the relationship between theory and practice. PREREQUISITES:
PHIL80; some exposure to philosophy of language and/or computational language processing is recommended.
Last offered: Autumn 2017
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