FROM THE COURSE CATALOG
This course will emphasize interdisciplinary approaches to the study of intelligent systems, both natural and artificial. Cognitive science synthesizes research from cognitive psychology, computer science, linguistics, neuroscience, and contemporary philosophy. Special attention will be given to the philosophical foundations of cognitive science, information theory, symbolic and connectionist architectures, the neural basis of cognition, perception, learning and memory, language, action, reasoning, expert systems, and artificial intelligence.
REQUIRED TEXTS
The course readings are on electronic reserve (e-reserve) in the Williams College library system.
1) Go to the library homepage. 2) Select FINDING BOOKS, then FRANCIS, and at the bottom of the screen choose either RESERVE BY INSTRUCTOR or RESERVE BY COURSE. 3) Type in Cruz, Danyluk, or COGS 222. 4) Click ACCESS eReserves. 5) Click CONNECT TO ONLINE COURSE MATERIAL 6) Read the Copyright Law and click ACCEPT.
Click the link for the material you require or open a folder for all associated readings. Enter the password to access the file. Click CONTINUE. Print out the reading (we will assume that you have a copy with you in class.)
For questions about the eReserves contact Jodi Psoter (x4503)
GRADING
Grading on all assignments will be anonymous. Please turn in your lab assignments and exams with only your Williams ID number on it in some unobtrusive place.
Anonymous grading is one way of assuring that the collegiality of our interactions does not cloud our assessment of your work. Grading blindly is not a perfect mechanism for this purpose, and it is not intended to be. One crucial disadvantage to anonymous grading is that the instructors will not know when your work is systematically inadequate and will typically not approach you with concerns about your work. As a result, there is an additional burden of maturity and responsibility on your shoulders. You must elect to visit office hours and to seek out informal opportunities to improve your writing and research.
1. Lab exercises
Each Thursday you will be assigned take-home lab exercises to be turned in at the beginning of class the following Thursday.
Labs will include complete instructions, and will usually be self-contained assignments primarily (but not solely) involving quantitative answers. In cases where lab exercises require a computer, the software for the course has been tested only on the Mac operating system. Mac labs can be found throughout campus, but you may reliably work in TCL 216 or in one of the Bronfman labs (319 or 340).
Some lab exercises will be done individually and others will be done collaboratively. Labs will be graded on a 1 to 10 scale, and will be penalized 1 point the first day it is late, 2 points the second day, and four points the third day.
Lab exercises are worth 50% of your final grade.
2. Self-scheduled take home midterm exam
The midterm exam will be a 24 hour take home exam available starting 4/4 and due by 4:00 on 4/11. It may be picked up from the computer science administrative office (TCL 303) between the hours of 8:30am and 4:00pm. The midterm will include both quantitative and qualitative portions, where the latter will be several short essays. The midterm will be open book and open notes. You may not discuss the material of the midterm with other students.
The take home midterm is worth 25% of your final grade.
3. Self-scheduled take home final exam
The final exam will be a 24 hour take home exam picked up from the Registrar's Office. The final exam will include both quantitative and qualitative portions, where the latter will be several short essays. The final will be open book and open notes. You may not discuss the material of the final with other students. The final exam will range over the entire semester.
The final exam is worth 25% of your final grade.
CLASS RESOURCES
The instructors hold office meetings each week. They are:
| Danyluk (TCL 308) |
Cruz (Harper 9)
|
Mondays 1-3
|
Tuesdays 12:30-2:30 |
| Tuesdays 11:15-12:15 |
Thursdays 12:30-2:30 |
| Wednesday 10-12 |
Fridays 11-12 |
Additional times are available by special arrangement. Students are welcome to visit individually or in groups. You do not need to have a specific assignment or difficulty in mind to come to visit. Wide-ranging conversations about the class, about cognitive research, or about intellectual inquiry at Williams are very welcome.
Contact - Cruz is available by email and occassionally via AIM. You may assume that if he is logged on, he is available and eager for conversation (screen name: profjcruz). Danyluk prefers email, and will usually respond quickly at any time of the day.
Students with disabilities who may need disability-related classroom accommodations for this course are encouraged to set up an appointment to meet with one of us as soon as possible and to contact the Dean's Office (at extension 4262) to better insure that accommodations are provided in a timely manner.
SCHEDULE OF TOPICS & READINGS
(All readings are required unless otherwise indicated.)
February
2 |
| Discussion: |
What is cognitive science? |
| Readings: |
None
(Download Black Box for Lab #1) |
|
7 |
| Discussion: |
Representations and computations |
| Readings: |
Block, N. (1990) The computer model of the mind. |
|
9 |
| Discussion: |
Robotics lab |
| Readings: |
from Martin, F. (2001) Robotic Explorations. (pp. 20-28.) |
LAB #1 DUE
|
14 |
| Discussion: |
Emergent behavior |
| Readings: |
Brooks, R. (1990) Elephants don't play chess. |
|
16 |
| Discussion: |
Insect navigation |
| Readings: |
Gallistel, C. (1998) Symbolic processes in the brain: The case of insect navigation. |
LAB #2 DUE
|
21 |
| Discussion: |
Symbolic systems and connectionism |
| Readings: |
Thagard, P. (1996) Connections. |
|
23 |
| Discussion: |
Turing machines |
| Readings: |
Barker-Plummer, D. (2005). Turing machines. |
LAB #3 DUE
|
28 |
| Discussion: |
Knowledge representation for reasoning |
| Readings: |
Davis, R. et al (1993) What is a knowledge representation? |
|
|
| Discussion: |
Knowledge - Concepts I |
| Readings: |
Medin, D. (1989) Concepts and conceptual structure |
LAB #4 DUE
|
7 |
| Discussion: |
Knowledge - Concepts II |
| Readings: |
Thompson, R. (1995) Natural and relational concepts in animals. |
|
9 |
| Discussion: |
Knowledge - Introduction to logic |
| Readings: |
from Sowa, J. (2000). Knowledge representation. (Chapter 1.) |
LAB #5 DUE
|
14 |
| Discussion: |
Knowledge - Psychology of deduction |
| Readings: |
Johnson-Laird, P. and Byrne, R. (1991) The cognitive science of deduction. |
|
16 |
| Discussion: |
Perception - Object recognition in artificial intelligence |
| Readings: |
from Cawsey, A. (1998). The Essence of Artificial Intelligence. (Chapter 6.) |
LAB #6 DUE
|
|
SPRING VACATION
|
April
4 |
| Discussion: |
Perception - Low level object recognition |
| Readings: |
Riesenhuber, M. & Poggio, T. (2002). Neural mechanisms in object recognition.
|
|
6 |
| Discussion: |
Perception - High level object recognition |
| Readings: |
Biederman, I. (1995) Visual Object Recognition.
|
|
11 |
| Discussion: |
Learning - Latent Semantic Analysis |
| Readings: |
Landauer, T. (2003). Latent semantic analysis.
|
MIDTERM EXAM DUE
|
13 |
| Discussion: |
Learning - More on LSA | Past tense |
| Readings: |
Pinker, S. & Ullman, M. (2002). The past and future of the past tense.
McClelland, J. & Patterson, K. (2002). 'Words or Rules' cannot exploit the regularity in exceptions. |
|
18 |
| Discussion: |
Learning - Past tense |
| Readings: |
McClelland, J. & Patterson, K. (2002). Rules or connections in past-tense inflections: What does the evidence rule out?
Pinker, S. & Ullman, M. (2002). Combination and structure, not gradedness, is the issue.
|
|
20 |
| Discussion: |
Learning - Algorithms |
| Readings: |
from Mitchell, T. (1997). Machine Learning. (Chapter 2.)
|
LAB #7 DUE
|
25 |
| Discussion: |
Learning - Algorithms |
| Readings: |
from Mitchell, T. (1997). Machine Learning. (pp. 81-89.) |
|
27 |
| Discussion: |
Concepts, language, and thought |
| Readings: |
Guest lecturer - Professor Paul Bloom, Yale University
Readings TBA |
LAB #8 DUE
|
|
| Discussion: |
Language and thought |
| Readings: |
from Pinker. S. (1994). The Language Instinct. Chapter 3. |
|
4 |
| Discussion: |
Evolution |
| Readings: |
Pinker, S. and Bloom, P. (1990). Natural language and natural selection. |
LAB#9 DUE
|
9 |
| Discussion: |
Evolution |
| Readings: |
Lewontin, R. (1998). The evolution of cognition: Questions we will never answer. |
|
11 |
| Discussion: |
Minds |
| Readings: |
Searle, J. (1983). Can computers think? |
LAB#10 DUE
|
|
SELF-SCHEDULED TAKE-HOME FINAL EXAM
(Pick up at Registrar's Office during reading period or finals)
|
|
|