Professor: Lisa Meeden
Course: Tuesdays and Thursdays 11:20-12:35, SCI 181 Email: meeden AT cs.swarthmore.edu Office: SCI 243 Phone: 328-8565 Office hours: Wednesday 2-4pm, or by appointment |
This course provides an introduction to cognitive science, the study of mind, from an interdisciplinary perspective that includes cognitive psychology, linguistics, neuroscience, philosophy, and artificial intelligence.
The central metaphor of cognitive science views the brain as a complex biological computing machine, the physical properties of which give rise to the mind's capacity for perceiving the world, controlling actions, generating and understanding language, doing logical reasoning, and even consciousness. But what exactly does it mean to view thought as a complex computation? How far does this metaphor take us in practice, and what insights does it offer?
In this course, we will investigate the nature of computation and its relationship to human, and possibly machine, intelligence. We will do this in a hands-on way by experimenting with models of cognitive processes such as language, perception, memory, and learning, and we will explore the idea of embodied cognition by experimenting with simulated robots.
Typically we will meet in the classroom on Tuesdays (SCI 181) for lecture and in the Computer Science lab on Thursdays (SCI 240) to do hands-on experiments with computational models.
Each student will receive an account on the Computer Science Department's computer system. You will use a program called cogs1handin to turn in your homework. This program allows you to resubmit your homework multiple times up until the deadline.
No late homework will be accepted unless you contact me at least 1 day in advance of the due date to explain why extra time is necessary.
I expect you to do the weekly reading prior to the first class meeting of the week.
WEEK | DAY | ANNOUNCEMENTS | READING | HW |
1 | Jan 23 | Characterizing intelligence and Overview of Cognitive Science Understanding Intelligence, Ch. 1-2 |
SHRDLU Cyc |
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Jan 25 | ||||
2 | Jan 30 | Fundamental problems with classical Cognitive Science Understanding Intelligence, Ch. 3 |
1: Turing Machines | |
Feb 01 | Last day to drop/add (Feb 02) | |||
3 | Feb 06 | Embodied Cognitive Science Understanding Intelligence, Ch. 4 Decoding the language of the bee |
2: Creating a simple robot brain | |
Feb 08 | ||||
4 | Feb 13 | Neural networks Understanding Intelligence, Ch. 5 |
3: Understanding neural networks | |
Feb 15 | ||||
5 | Feb 20 | Braitenberg vehicles Understanding Intelligence, Ch. 6 |
4: Braitenberg Vehicles | |
Feb 22 | ||||
6 | Feb 27 | Artificial evolution Understanding Intelligence, Ch. 8 |
5: Evolving Robot Brains | |
Mar 01 | ||||
7 | Mar 06 | Midterm Exam | ||
Mar 08 | Design principles for autonomous agents Understanding Intelligence, Ch. 10 |
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Mar 13 | Spring Break | |||
Mar 15 | ||||
8 | Mar 20 | Categorization Understanding Intelligence, Ch. 12 |
6: Unsupervised Categorization | |
Mar 22 | ||||
9 | Mar 27 | Intro. to Developmental Robotics The playground experiment: Task-independent development of a curious robot |
7: Self-motivated robot learning | |
Mar 29 | Last day to declare CR/NC (Mar 30) | |||
10 | Apr 03 | Guest lecture by Prof. David Harrison | When languages die What children learn about language |
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Apr 05 | ||||
11 | Apr 10 | Models of language Finding structure in time The importance of starting small |
8: Experimenting with Elman's language model | |
Apr 12 | ||||
12 | Apr 17 | Animal communication Language instruction in the laboratory |
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Apr 19 | ||||
13 | Apr 24 | Neuroscience: Brain and Cognition Note: Because of copyright restrictions this must be read online |
Leading class discussion | |
Apr 26 | Guest lecture by Prof. Kathy Siwicki | |||
14 | May 01 | Philosophy: Foundations of Cognitive Science Note: Because of copyright restrictions this must be read online The Magic of Consciousness by Daniel Dennett |
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May 03 | ||||
May 15 | Final Exam 9am-12pm |