Introduction to Cognitive Science

SYMSYS 100 / PSYCH 035 / LINGUIST 144 / PHIL 190
Winter 2014
Tuesdays & Thursdays, 14:15 - 15:30
Room 260-113 (Language Corner)

Instructor and Teaching Assistants

Noah Goodman (email)

Office hours:
After class and by appointment.
Office: 420-356 (Jordan Hall)
Erik Brockbank (email)

Section:
Wednesday 4:15 - 5:05pm
Bldg 110, Rm 101


Office hours:
Tuesday 11:00am - noon
Bldg 460, Rm 040 (SymSys office)
Nick Borg (email)

Section:
Friday 10-11am
Bldg 120, Rm 59


Office hours:
Tuesday 4:00 - 5:00pm
Bldg 460, Rm 040E
Justine Kao (email)

Section:
Thursday 5:15 - 6:05pm
Bldg 20, Rm 21B

Office hours:
Thursday 3:45 - 4:45pm
Bldg 420, Rm 326
Ed King (email)

Section:
Thursday 1:15 - 2:05pm
Bldg 200, Rm 201

Office hours:
Wednesday 12:30 - 1:30pm
Bldg 420, Rm 365 (Linguistics Lab)

Contact

This piazza site will be used for discussion, and questions. Please post questions about homework and class content here so that other students can see the answers.

To email the entire staff, please use the following address: symsys100-win1314-staff@lists.stanford.edu.

Assessment

There will be four homework assignments, each worth 25% of the class grade. Assignments will consist of both a short answer portion (with more technical questions) and an essay section. Extra credit may be given for class or piazza participation at the instructors discretion. An extra credit homework assignment will be available the final week of class.

Assignments

Homework:

HW 1 (pdf; unrestricted)

HW 2

HW 3

HW 4

Sample Essays from Homework 1:

Prompt 1: Sample 1

Prompt 2: Sample 1

Prompt 3: Sample 1, Sample 2,Sample 3

Original Prompt: Sample 1

Late Policy: Homework is due as marked on each assignment, usually Friday at 5:00pm of the week after it is assigned. Late submissions will be penalized as follows:
  • Each student gets one day (24 hr) of extension to be used on any one of the four homework assignments without penalty.
  • Additional late days will result in a 5% penalty per day, and no assignment will be accepted more than three days (72 hrs) after its due date without prior arrangement.



Schedule

1/7

Course Introduction
Lecture Slides -- Course Introduction

1/9

Noah Goodman: Computation and intelligence
Lecture Slides -- Turing Machines
Lecture Slides -- Turing machines and intelligent machines

Readings:

Turing (1950), Computing Machinery and Intelligence (pdf)

Miller (2003), The Cognitive Revolution: A Historical Perspective (pdf)
Optional: Chapter 22 from this textbook.

1/14
Krista Lawlor: Belief and Content
Lecture slides

Readings (from the Stanford Encyclopedia of Philosophy):

Eric Schwitzgebel, Belief
Roy Sorenson, Epistemic Paradoxes, section on Moore's Problem
1/16
Noah Goodman: Physical Symbol Systems
Lecture slides

Readings:

Newell (1980), Physical symbol systems.

HW 1 (pdf)

HW 1 (pdf; unrestricted)

1/21
Jay McClelland: Parallel, Distributed Processing
Lecture slides

Readings:

Rumelhart (1989). The Architecture of the Mind: A Connectionist Approach (pdf)
Optional: McClelland and Rogers (2003), The Parallel Distributed Processing Approach to Semantic Cognition
1/23
Sam McClure: Reinforcement Learning
Lecture slides

Readings:

Montague, Hyman, Cohen (2004). Computational roles for dopamine in behavioural control.
Rangel, Camerer, Montague (2008). A framework for studying the neurobiology of value-based decision making.
1/28
Mehran Sahami: A Brief History of AI
Lecture slides

Readings:

Newell, Shaw, and Simon (1959). Report on a general problem-solving program
Searle (1980). Minds, brains, and programs
1/30
Valerie Carr: Memory and amnesia
Lecture slides

Readings:

Kalat (2007), The Biology of Learning and Memory (pdf) (Chapter 13 of Biological Psychology textbook)

HW 2 (pdf)

2/4
Percy Liang
Lecture slides

Readings:

Lappin (2000) An Introduction to Formal Semantics. Chapter in The Blackwell Handbook of Linguistics.
Berant et al (2013) Semantic Parsing on Freebase from Question-Answer Pairs
2/6
Tom Dean

Readings:

Dean (2013). Scalable Neuroscience and the Brain Activity Mapping Project
Optional: Dean et al. On the Technology Prospects and Investment Opportunities for Scalable Neuroscience
2/11
Mike Frank: Language Acquisition: Statistical learning about communication
Lecture slides

Readings:

Kuhl (2004), Early Language Acquisition: Cracking the speech code (pdf)
2/13
Michael Bernstein: Designing at scale: social computing and crowdsourcing
Lecture slides

Readings:

Gilbert and Karahalios (2009), Predicting tie strength with social media
Bernstein et al (2010), Soylent: A word processor with a crowd inside

HW 3

2/18
Dan Lassiter: Linguistics and the Chomskyan revolutions
Lecture slides

Readings:

Searle (1972), Chomsky's Revolution in Linguistics
Harris (2010), Chomsky's Other Revolution
2/20
The Nativist vs. Empiricist debate!
Lecture slides

Readings:

Pinker (2004), Why nature and nurture won't go away
Optional: Spelke (1998), Nativism, empiricism, and the origins of knowledge
2/25
Chris Potts: Dimensions of meaning in natural language
Lecture slides

Readings:

Acton and Potts (to appear), That straight talk: Sarah Palin and the sociolinguistics of demonstratives. (pdf)
2/27
Meghan Sumner

Readings:

Sumner et al (2014): The socially-weighted encoding of spoken words: a dual-route approach to speech perception

HW 4

3/4
Noah Goodman: Probabilistic Computation
Lecture slides

Readings:

Tenenbaum, Kemp, Griffiths, and Goodman (2011). How to grow a mind: structure, statistics, and abstraction.
optional: Griffiths, Kemp, and Tenenbaum (2008). Bayesian models of cognition
3/6
Noah Goodman: Probabilistic Computation
Lecture slides

Readings:

Frank and Goodman (2012). Quantifying pragmatic inference in language games.
optional: Goodman, Baker, and tenenbaum (2009). Cause and intent: social reasoning in causal learning
3/11
Noah Goodman: Levels of Analysis
Lecture slides

Readings:

Marr (1982), Vision, Chapter 1: The Philosophy and the Approach (pdf)
Optional: Fodor (1975), The Language of Thought, Chapter 1: First Approximations (pdf)

Extra credit assignment.

3/13
Class Wrap-Up