N.B. THIS PAGE IS NO LONGER CURRENT! You should probably be at Simlang 2014
EXTRA LAB: there will be an extra catch up lab between 2 and 5pm on Wednesday 27th March.
You’ll find here a growing list of links to materials for the Simulating Language Course running in 2012/2013.
If you want to install the Python distribution we use in the labs on your own machine, follow this link to the download site. Alternative Python distributions exist that should work too.
Note: Labs are in room 1.16, Dugald Stewart Building. Lectures are in 7 Bristo Square, Lecture Theatre 1.
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.
Week 1
Schedule of lectures, labs and assessments
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
Week 3
lecture 3 slides
Oliphant (1996)
Mitchell (1998)
lab 3 worksheet
signalling2.py
lab 4 worksheet
evolution1.py
Week 4
lecture 4 slides
lecture 5 slides
Bechtel & Abrahamsen (1991)
lab 5 worksheet
learning1.py
Week 5
lecture 6 slides
lab 6 worksheet
learning2.py
Christiansen & Devlin (1997)
UG Assessment 1
PG Assessment 1
Week 6
lecture 7 slides
Smith (2002)
Mesoudi and Whiten (2008)
lab 7 worksheet
learning3.py
lecture 8 slides
Smith (2004)
Week 7
lecture 9 slides
Siskind (1996)
lab 8 worksheet
learning4.py
Extra reading: A.D.M. Smith (2003)
lecture 10 slides
Kirby & Hurford (2002)
Kirby, Cornish & Smith (2008)
Week 8
lecture 11 slides
Griffiths and Kalish (2007)
Kirby et al (2007)
lab 9 worksheet
bayes1.py
Week 9
lecture 12 slides
Smith (2009)
Burkett and Griffiths (2010)
lab 10 worksheet
bayes2.py
lecture 13 slides
Smith and Kirby (2008)
