Because of ongoing building work, Simulating Language lectures will be moving room:
Fri 14th Feb – 2.13 Geography
Thur 27th Feb – Lecture Theatre 1 7 Bristo Square
Thur 6th Mar – Lecture Theatre 1 7 Bristo Square
Fri 7th Mar – Lecture Theatre 1 7 Bristo Square
Thur 13th Mar – Lecture Theatre 1 7 Bristo Square
Fri 14th Mar – G.8 Gaddum LT 1 George Square (Neuroscience)
Thur 20th Mar – S.1 7 George Square (Psychology Building)
Mon 24th Mar – G.8 Gaddum LT 1 George Square (Neuroscience)
Mon 31st Mar – G.8 Gaddum LT 1 George Square (Neuroscience)
You’ll find here a growing list of links to materials for the Simulating Language Course running in 2013/2014.
If you want to install Python on your own machine, follow this link to the download site. Alternative Python distributions exist that should work too.
You may also find the matplotlib documentation very useful when preparing graphs!
Note: Labs are in room 1.16, Dugald Stewart Building. Lectures are usually in Dugald Stewart Building, room 3.10/3.11. (Though see above!)
Bill and Matt are our lab demonstrators and are happy to have emails with questions about the lab materials.
Labs will take place at 2pm, 3pm and 4pm. Please follow this registrations link to indicate your time preference: REGISTER. N.B. Please don’t indicate 2pm unless you really can’t make any of the other times! For some students the 2pm slot will be the only one they can fit in their timetable.
Assessment will be in the form of two take-home papers, each of which will consist of short-answer questions. Together, they will cover everything in the course. You will be given at least a week to complete the assignments. For undergraduates, the two assessments will have equal weighting in your final mark. For postgraduates, the second assessment has a greater weighting.
Re-re-revised schedule of lectures, labs and assignments
Week 1
Lecture 1 slides
Lab 1 worksheet
Lab 1 example functions
Lecture 2 slides
Seyfarth on Vervets Video
Week 2
lab 2 worksheet
lab 2 walkthrough
signalling1.py
lecture 3 slides
Oliphant (1996)
Mitchell (1998)
Week 3
lab 3 worksheet
signalling2.py
lab 4 worksheet
evolution1.py
lecture 4 slides
Week 4
Catch-up labs.
Week 5
lecture 5 slides
Bechtel & Abrahamsen (1991)
lab 5 worksheet
learning1.py
lecture 6 slides
Christiansen & Devlin (1997)
Week 6
Simlang Assessment 1
lab 6 worksheet
learning2.py
lecture 7 slides
Week 7
Smith (2002)
Mesoudi and Whiten (2008)
lab 7 worksheet
learning3.py
lecture 8 slides
Smith (2004)
lecture 9 slides
Siskind (1996)
Week 8
lab 8 worksheet
learning4.py
Extra reading: A.D.M. Smith (2003)
lecture 10 slides
Kirby & Hurford (2002)
Kirby, Cornish & Smith (2008)
lecture 11 slides
Griffiths and Kalish (2007)
Kirby et al (2007)
Week 9
lab 9 worksheet
bayes1.py
lecture 12 slides
Smith (2009)
Burkett and Griffiths (2010)
lab 10 worksheet
bayes2.py
Week 10
Simlang Assessment 2
Week 11