printer friendly pageSYMSYS 100: Minds and Machines (LINGUIST 144, PHIL 99, PSYCH 35)
An overview of the interdisciplinary study of cognition, information, communication, and language, with an emphasis on foundational issues: What are minds? What is computation? What are rationality and intelligence? Can we predict human behavior? Can computers be truly intelligent? How do people and technology interact, and how might they do so in the future? Lectures focus on how the methods of philosophy, mathematics, empirical research, and computational modeling are used to study minds and machines. Undergraduates considering a major in symbolic systems should take this course as early as possible in their program of study.
Terms: Aut
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Units: 4
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UG Reqs: GER:DB-SocSci, WAY-FR
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Grading: Letter or Credit/No Credit
Instructors:
Davies, T. (PI)
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Icard, T. (PI)
;
Lassiter, D. (PI)
;
Crone, P. (TA)
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Instructors:
Davies, T. (PI)
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Icard, T. (PI)
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Lassiter, D. (PI)
;
Crone, P. (TA)
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Gomez, A. (TA)
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Hennigan, K. (TA)
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Steinert-Threlkeld, S. (TA)
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To, A. (TA)
SYMSYS 122: Artificial Intelligence: Philosophy, Ethics, & Impact (CS 122)
Recent advances in computing may place us at the threshold of a unique turning point in human history. Soon we are likely to entrust management of our environment, economy, security, infrastructure, food production, healthcare, and to a large degree even our personal activities, to artificially intelligent computer systems. The prospect of "turning over the keys" to increasingly autonomous systems raises many complex and troubling questions. How will society respond as versatile robots and machine-learning systems displace an ever-expanding spectrum of blue- and white-collar workers? Will the benefits of this technological revolution be broadly distributed or accrue to a lucky few? How can we ensure that these systems respect our ethical principles when they make decisions at speeds and for rationales that exceed our ability to comprehend? What, if any, legal rights and responsibilities should we grant them? And should we regard them merely as sophisticated tools or as a newly emerging form of life? The goal of this course is to equip students with the intellectual tools, ethical foundation, and psychological framework to successfully navigate the coming age of intelligent machines.
Terms: Aut
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Units: 3-4
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UG Reqs: WAY-ER
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Grading: Letter or Credit/No Credit
Instructors:
Kaplan, J. (PI)
SYMSYS 130: Research Methods in the Cognitive and Information Sciences
Understanding the different methodological approaches used in disciplines that study cognition and information. Emphasis is on philosophical/analytical, formal/mathematical, empirical, and computational thinking styles, with some attention to other methods as well. What assumptions underlie these methods? How can they be combined? How do practitioners of each discipline think differently about problems, and what are the challenges involved in studying or working across them?
Terms: given next year
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Units: 3
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Grading: Letter or Credit/No Credit
SYMSYS 150: CRYPTOCURRENCIES SEMINAR
A weekly seminar allowing students the opportunity to discuss and explore cryptocurrencies from a variety of domains and view points:nn1) Explore the history of fiat currencies, both economically and philosophically. How does Bitcoin mesh in here? What are advantages and disadvantages compared to traditional fiat currencies? (~2 weeks) n2) Contextualize and juxtapose decentralized currencies with respect to TCP/IP, Napster, and other relevant decentralized and cloud protocols. (~2 weeks)n3) Work through and understand Satoshi¿s initial protocol and proof-of-work mining system. What problem did she solve? How? Why was it important? How can we prove it mathematically? What are significant game theoretic and cryptographic weaknesses? What do alternative cryptocurrencies look like? Is there a `best¿ alternative? (~3 weeks)n4) What does ¿Bitcoin as a protocol¿ mean? What can be built on top of it? What¿s being built around it? What does regulation look like? What are hypotheses for the future of digital currencies? How do we explain investor confidence, given regulatory hesitation? (~3 weeks)
Terms: not given this year
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Units: 2
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Grading: Letter (ABCD/NP)
SYMSYS 161: Applied Symbolic Systems in Venture Capital + Entrepreneurship (SYMSYS 261)
A weekly seminar allowing students the opportunity to discuss and explore applied Symbolic Systems in technology, entrepreneurship, and venture capital. We will explore popular conventions and trends through the lens of numerous deductive and applied Symbolic Systems.
Terms: Win
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Units: 2
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Repeatable for credit
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Grading: Satisfactory/No Credit
Instructors:
Dar, Z. (PI)
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Li, N. (PI)
SYMSYS 170: Decision Behavior: Theory and Evidence (SYMSYS 270)
Introduction to the study of judgment and decision making, relating theory and evidence from disciplines such as psychology, economics, statistics, neuroscience, and philosophy. The development and critique of Homo economicus as a model of human behavior, and more recent theories based on empirical findings. Recommended: background in formal reasoning.
Terms: not given this year
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Units: 3-4
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Grading: Letter or Credit/No Credit
SYMSYS 190: Senior Honors Tutorial
Under the supervision of their faculty honors adviser, students work on their senior honors project. May be repeated for credit.
Terms: Aut, Win, Spr, Sum
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Units: 1-5
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Repeatable for credit
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Grading: Letter or Credit/No Credit
Instructors:
Berger, J. (PI)
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Bernstein, M. (PI)
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Clark, E. (PI)
;
Davies, T. (PI)
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Instructors:
Berger, J. (PI)
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Bernstein, M. (PI)
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Clark, E. (PI)
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Davies, T. (PI)
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Frank, M. (PI)
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Grill-Spector, K. (PI)
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Gross, J. (PI)
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Jurafsky, D. (PI)
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Klemmer, S. (PI)
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Knutson, B. (PI)
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Lassiter, D. (PI)
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McClelland, J. (PI)
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McClure, S. (PI)
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Nass, C. (PI)
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Shiv, B. (PI)
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Shrager, J. (PI)
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Sumner, M. (PI)
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Wagner, A. (PI)
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Wilkins, D. (PI)
SYMSYS 191: Senior Honors Seminar
Recommended for seniors doing an honors project. Under the leadership of the Symbolic Systems program coordinator, students discuss, and present their honors project.
Terms: Aut
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Units: 1
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Repeatable for credit
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Grading: Satisfactory/No Credit
Instructors:
Davies, T. (PI)
SYMSYS 196: Independent Study
Independent work under the supervision of a faculty member. Can be repeated for credit.
Terms: Aut, Win, Spr, Sum
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Units: 1-15
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Repeatable for credit
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Grading: Letter or Credit/No Credit
Instructors:
Barker-Plummer, D. (PI)
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Boroditsky, L. (PI)
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Davies, T. (PI)
;
Frank, M. (PI)
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more instructors for SYMSYS 196 »
Instructors:
Barker-Plummer, D. (PI)
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Boroditsky, L. (PI)
;
Davies, T. (PI)
;
Frank, M. (PI)
;
Gross, J. (PI)
;
Jurafsky, D. (PI)
;
Kay, M. (PI)
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Klemmer, S. (PI)
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McClelland, J. (PI)
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McClure, S. (PI)
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Menon, V. (PI)
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Mints, G. (PI)
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Nass, C. (PI)
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Sahami, M. (PI)
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Shelef, O. (PI)
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Shiv, B. (PI)
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Shrager, J. (PI)
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Sumner, M. (PI)
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Wilkins, D. (PI)
SYMSYS 200: Symbolic Systems in Practice
Applying a Symbolic Systems education at Stanford and outside. The basics of research and practice. Students develop and present a project, and investigate different career paths, including academic, industrial, professional, and public service, through interviews with alumni.
Terms: not given this year
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Units: 2-3
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Grading: Letter or Credit/No Credit
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