CS371 Cognitive Science
This is the homepage for CS371 Cognitive Science, Fall 2003 at
Bryn Mawr College in the
Computer Science Department, Philadelphia, PA.
Cognitive science is the inter-disciplinary study of intelligence in mechanical and organic systems. In this introductory course, we examine many topics from psychology, philosophy, computer science, linguistics, neuroscience, and mathematics. Some questions that we will examine: Can a computer be intelligent? How do neurons give rise to thinking? What is consciousness? No prior knowledge or experience with any of the sub-fields is assumed or necessary.
General Information
Instructor: Douglas Blank, 246B Park Hall, (610)526-6501
Email: dblank@cs.brynmawr.edu
Web sites:
| Instructor | http://dangermouse.brynmawr.edu |
| Edventure | http://edventure.brynmawr.edu |
| Notes (this page) | http://wiki.cs.brynmawr.edu/?CS371 |
Teaching Assistant: N/A
TA Lab Hours: N/A
Lecture Hours: Tuesdays & Thursdays, 10:00 a.m. to 11:30 p.m.
Lecture room: Park Science Building, room 338
Laboratory Hours: TBA
CS Laboratory: Park 232 (need access code)
Materials
Texts
This course does not have a textbook. We will read papers available online.
Software
We will use a few software packages, all available on the Computer Science network. You will need an account on http://bubo.brynmawr.edu/.
Schedule
This schedule may change. Please check here often.
September October November December
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| Week/Day | Dates | Topic | Assignment due | Links | |
| 1 T | Sep 1 - Sep 5 | Intro | Discuss: What is Cognitive Science? | ||
| 1 R | Sep 1 - Sep 5 | Intro |
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| 2 T | Sep 8 - Sep 12 | Intelligence |
Reading: |
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| 2 R | Sep 8 - Sep 12 | Intelligence |
Reading: |
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| 3 T | Sep 15 - Sep 19 | Intelligence |
Reading: |
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| 3 R | Sep 15 - Sep 19 | Psychology | Braitenberg's Vehicles |
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| 4 T | Sep 22 - Sep 26 | Robotics | Pyro | Reading: PyroModules | |
| 4 R | Sep 22 - Sep 26 | Robotics | Pyro | Reading: PyroModules | |
| 5 T | Sep 29 - Oct 3 | Robotics | Experiments | Discuss findings of Project #1 | |
| 5 R | Sep 29 - Oct 3 | Psychology: Brains | Guest Lecture: Laura Barde, Psychology. Discuss Chapter Handout | ||
| 6 T | Oct 6 - Oct 10 | Psychology: Neural models | Discuss Intro to NNs, Discuss PDP, Chapter #1 | ||
| 6 R | Oct 6 - Oct 10 | Psychology: back-propagation |
Discuss |
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| 7 T | Oct 13 - Oct 17 | Fall Break | |||
| 7 R | Oct 13 - Oct 17 | Fall Break | |||
| 8 T | Oct 20 - Oct 24 | Neural Networks |
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| 8 R | Oct 20 - Oct 24 | NN Controlled Robots | SimpleAvoidBrain | ||
| 9 T | Oct 27 - Oct 31 | Robot Learning | PyroCognitiveScience:RobotLearning | ||
| 9 R | Oct 27 - Oct 31 | Robot Learning | PyroCognitiveScience:RobotLearning | ||
| 10 T | Nov 3 - Nov 7 | Analogies: Metacat | Metacat - on-line docs |
Discuss |
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| 10 R | Nov 3 - Nov 7 | Analogies: Metacat | Metacat - on-line docs | ||
| 11 T | Nov 10 - Nov 14 | Analogies: Metacat | Metacat - Project #3 | ||
| 11 R | Nov 10 - Nov 14 | Analogies: Analogator | Project #3 Due | ||
| 12 T | Nov 17 - Nov 21 | Analogies: Analogator | Final Project Proposals due next week | ||
| 12 R | Nov 17 - Nov 21 | Evolutionary Systems | PyroModuleEvolutionaryAlgorithms | Assign Project #4 | |
| 13 T | Nov 24 - Nov 28 | Evolutionary Systems | PyroModuleEvolutionaryAlgorithms | ||
| 13 R | Nov 24 - Nov 28 | Thanksgiving break | |||
| 14 T | Dec 1 - Dec 5 | Philosophy |
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| 14 R | Dec 1 - Dec 5 | Philosophy: | |||
| 15 T | Dec 8 - Dec 12 | Project presentations | |||
| 15 R | Dec 8 - Dec 12 | Project presentations | |||
| Exams | Dec 15 - Dec 19 | ||||
Other possible readings:
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brain in a vat, Dan Dennett
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What's it like to be a bat, Thomas Nagle
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a conversation with eistein's brain, Doug Hofstadter
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intelligence without representation, Rodney Brooks
Grading
There will be weekly reaction reports that you will write. Each will be just a couple of pages of text written by you providing comment on the readings and lab experiments. These reports will be submitted using
Edventure.
All work will receive a grade between 0.0 and 4.0 (typically the Bryn Mawr scale 4.0, 3.7, 3.3, 3.0, 2.7, 2.3, 2.0, 1.7, 1.3, 1.0, or 0.0 will be used). At the end of the semester, final grades will be calculated as an average of all grades according to the following weights:
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Written reaction reports 25%
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Participation and class presentations 25%
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Lab work 25%
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Final Project and Paper 25%
