Minds and Machines

UH 267 — Special Topics in  Social Science

Fall 2006


Classes: 3:40–4:55 Tues. & Thurs. in Melrose F401.

Instructor:

Bruce MacLennan, PhD
Phone: 974-5067
Office: Claxton Complex 217
Office Hours: TR 2:30–3:20, or make an appointment
Email: maclennan@cs.utk.edu

Contents


Description

In this course we will explore the question of whether a machine can have a mind.  In addition to its relevance to artificial intelligence, this question provides a sharp test-case for our theories of the human mind, and investigating it will foster a deeper understanding of our own humanity.  Students will read selections from a number of psychologists, philosophers, and computer scientists who have addressed aspects of this issue, and we will discuss these readings in class.  Assignments will include written critiques of the texts in addition to well-argued defenses of the students’ own positions.  Informed discussion of these topics will require the students to master material in several disciplines, including artificial intelligence, cognitive science, philosophy, phenomenology, neuroscience, the theory of computing, logic, and the foundations of mathematics.

Prerequisites:  Eng 118 or AP English credit.

This course satisfies the General Education requirements for “Broadened Perspectives/Social Sciences” and “Communication through Writing.”


Texts


Grading

Grades will be based on (1) evidence of having engaged and understood the required readings, (2) classroom & online discussion (25% total), and (3) written assignments (75%).  The latter will include sets of essay questions or other exercises assigned every two or three weeks.  Also, approximately one half of the way through the term, I will ask you to propose a topic for your term paper, typically a new analysis of one the important issues discussed in the course, or a critique of one or more published analyses.  Naturally, all written assignments will be graded on the quality of their composition as well as on their technical content.

Reading

This class requires a significant amount of reading and some of it is fairly technical.  To help you along, I have required two books, Copeland’s Artificial Intelligence, which is an ordinary textbook, and Haugeland’s Mind Design II, which is a collection of readings from the literature.  They cover similar material in about the same order.  The idea is that you will read a chapter in Copeland, which will introduce a topic and provide a context to help you understand the corresponding article(s) in Haugeland.  At the end of each class, I will tell you the readings for the next class meeting, which are also available in the online schedule (which I will update as required).  You are expected to do the readings before class and to come prepared to discuss them.  If you have difficulty understanding some of the material, please make a note of your questions and bring them to class for discussion.  You can also post questions in the class email list (see below).

Classroom Discussion (25%)

At the beginning of class I will ask you a few comprehension questions to confirm that you have done the reading.  Next will be a short lecture over the topic of the readings.  The remaining half of the class period will be devoted to critical discussion of the material, in which you are expected to participate.

Online Discussion

At the end of each class, we will identify several issues for further discussion on the class email list.  You are encouraged to post messages commenting on these issues or responding to the comments of other students.  Additional relevant issues may be raised at any time by you or by me.  These posts are not expected to be polished essays, but they should be intelligible, and although they are not graded, I will evaluate them for engagement with the topic, comprehension, and cogent questions and criticism.  This evaluation will contribute to your class participation grade.  If you don’t like to talk in class, you can compensate with more online discussion.

Essay Assignments (25%)

Every two or three weeks, I will assign one or more essay questions intended to address a specific issue or requiring you to integrate and analyze your readings to that point.  You will be required to write at least 250 words for each such assignment (about five total), and I will grade your essays for grammar, usage, and organization in addition to content.  (Current and previous assignments are available online.)

Term Paper (50%)

The term paper is required to be at least 2500 words in length.  You may select a topic from a list provided by me or propose a relevant topic of your own.  After the seventh week you are expected to turn in a short (100–200 word) proposal specifying the topic, approach, and objective of your paper.  After I approve it, you will develop a detailed (topic-sentence-level) outline, which will be due at the end of the ninth week.  (See the explanation of this kind of outline.)  I will evaluate the outline for organization and completeness, and ask you to revise and resubmit it if it is inadequate.  On the basis of your approved outlines, you will write the first drafts of your papers, which are due no later than the twelfth week.   I will evaluate the drafts for content, style, grammar, usage, and cogency, and in some cases I will require a revised draft.  The final versions of their papers are due on the last day of class, although I may invite some students to improve their grades by submitting a revised version during exam week.  There is some flexibility in these dates, but check in with me via email.

Item Due
Topic Nov 2
Outline Nov 28
First Draft Dec 7
Final Draft Dec 14


Return to MacLennan's home page

Send mail to Bruce MacLennan / MacLennan@cs.utk.edu

Valid HTML 4.01! This page is www.cs.utk.edu/~mclennan/UH267/index.html
Last updated: 2006-12-01.