All readings will be made available on the course page.
Ron Sun, ed. (2008). The Cambridge Handbook of Computational
Psychology. Series: Cambridge
Handbooks in Psychology. Cambridge University Press. ISBN:
9780521674102, 768 pages.
Jerome R. Busemeyer and Adele Diederich (2010). Cognitive Modeling. SAGE Publications, Inc. ISBN: 9780761924500, 224 pages.
The main goals of this course are to get a good understanding of the role of computational modeling in cognitive science and to become familiar with the basic modeling techniques (connectionist, Bayesian, dynamic-systems-based, logic/symbol-based, production-based, etc.). As such, students should be able to understand computational models developed in different paradigms as they are presented in research papers and should also be able to develop simple computational models of their own.
|Topics:|| Appr. number of weeks
| Connectionist models
| Bayesian models
| Dynamic system models
| Logic/symbol-based models
| Classical cognitive architectures/production models
| Models of specific cognitive
Note that the number of lectures on each topic (as well as some of the various subtopics covered by the lectures) is subject to change (e.g., based on the respective research projects picked by students).
|92 - 100||A|
|89 - 91||A-|
|86 - 88||B+|
|82 - 85||B|
|79 - 81||B-|
|76 - 78||C+|
|72 - 75||C|
|69 - 71||C-|
|62 - 68||D|
|0 - 61||F|
Although no rigorous attendance policy will be implemented
for this course, students are expected to
attend all classes (students with excessive absences will be very
unlikely to pass the course). Everybody is encouraged to participate
actively and contribute to the course (e.g., by asking questions and
sharing information in the online web-based forum).
This course follows the Faculty of Arts, Sciences and Engineering Guidelines Pertaining to Religious Observances. You are not required to prove attendance at religious services or events to obtain an accommodation for religious observance, but you are requested to provide indication of such any accommodation requests early in the semester.
Electronic devices can be massively
disturbing during class time (from noises due to typing, to the
distractions that result from being connected to the Internet) and will
lead to reduced attention/participation of the user (there are lots of
studies confirming that!), and likely the people around the user.
Instead of coping with the temptations of texting, emailing, web browsing,
and other non-class-related activities enabled by electronic devices
during class time, this course implements a strict
"no electronic devices during lectures" policy: no
cell phones, smart phones, PDAs, tablets, laptops, or other similar
electronic devices are allowed during class time. Handouts
will be distributed for each lecture (with extra space for additional
notes students might want to take) and will also be made available online.
Per Tufts policy, incompletes will be granted under only the most exceptional of circumstances (out of your control) and only in cases where most of the course work has already been completed. Examples of exceptional circumstances include a death in the family or major illness that keeps you out of the classroom for a significant period of time. Note that getting behind in the class due to other obligations outside the classroom (other classes, job) doesn't warrant granting an incomplete.
This course is conducted in accordance with the Academic Integrity
standards as described in the School
Engineering Academic Integrity Handbook. Specifically, it is
considered cheating if you
obtain any kind of information about answers and solutions to any of the
assignments in this course from any non-intended source (including your
peers) or conversely transfer such information to others. When in doubt,
ask the instructor. Nobody begins the semester with the intention of
cheating. Students who cheat do so because they fall behind gradually, and
then panic at the last minute. Some students get into this situation
because they are afraid of an unpleasant conversation with an instructor
if they admit to not understanding something. I would much rather deal
with your misunderstanding early than deal with its consequences
later. Please, feel free to ask for help as soon as you need it. And
remember: plagiarism violates academic honesty and Tufts faculty are
required by Tufts policies to report any form of plagiarism.
Statement for Students with Disabilities:
The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact Disability Services.