schedule on this page is always subject to change.
This course has three different but complementary objectives (see unit descriptions):
Because this course is about a topic that is both central to human identity, and also disrupting the global economy, much of its content is necessarily a matter of controversy. For this reason the material is presented with a strong component of history of science. This allows you as students to understand and evaluate the biases not only of the lecturer, but also of other academics you may read. Bias is an intrinsic part of intelligence (as you'll learn in this course); the question is how to best cope with it. This course is consequently also about how academics and societies arrive at a set of material which we present to students and use in policy. Societies and universities are also cognitive systems, so this course is about itself, and about your degree.
This unit is taught flipped classroom. This is partially in response to student reviews from the first five years, where students wanted more time to go over the lectures and to ask questions. It is also in response to the fact that the lecturer lives on a different continent. Most weeks there are two lectures to watch, generally on video, plus one quiz and one live discussion session. The time for the quiz & the discussion session add up to one additional hour. Some weeks there is only one video and one live tutorial for the coursework, or one or two live lectures where the video needs to be updated.
To make sure that everyone is keeping up with the videos, there
are quizzes. These are on moodle but at a fixed time, generally at
the beginning of the lecture discussion session. The quizzes
do not count for much of your mark, and you will drop your worst
two (of seven) of your marks. They substantially improved
performance on the final exams since the year we introduced them.
This page is provided as a resource, mostly so you can find lecture notes and problem sets. There is also a moodle page associated with this course, which contains forums for support & is where you submit your coursework.You are responsible for reading thoroughly all communication from email, the moodle news forum, and the coursework specifications.
|| Lecture Topics
(exact organization still subject to change)
|Coursework & Labs
(courseworks due Friday at midnight, handed out Tuesdays in Lecture)
& Sensing; Artificial Intelligence & Cognition.
Lecture 1; Lecture 2
|Coursework 1 handed out.||4 Feb||Don't miss the first
lecture! Don't miss your first lab!
No quiz this week.
||Action Selection; Cognitive
Lecture 3; Lecture 4
Robots handed out in lab
||This is a bunch of history,
but it's very relevant to your first lab as you think
about the achitecting your robots' mind.
||Perception; Learning and Evolution.
Lecture 5; Lecture 6
4 (MScs only) handed
Friday quiz: 4-6
||We won't use learning much
in the labs, but we need to understand how it's used in
Nature, and how it should inform our Design.
Learnability, and Design–Perception for Robots; Science, Agents and
Lecture 7; Lecture 8
Coursework 1 Due Thursday.
Coursework 2 handed out.
No quiz or q&a
NetLogo tutorial live Friday (by Holly?)
|| More advanced tips from Nature
on learning to learn; then moving on to thinking about
cognition as a social process.
Quiz is just on learning, evolution, and design, not on agents or science.
Simulation and Social Structure.
Friday quiz: 7-9
Netlogo labs this week & next.
How AI can be used to understand
intelligence in nature; then moving on to thinking
about cognition as a social process.
Testing and Evidence;
Multiple Conflicting Goals: Intro to Game AI;
Lecture 10; Lecture 11
BUNG and ABOD3 tutorial live Friday by Wenbin
No quiz or q&a
||This week makes sure you have what you need
to write up your CW2, and then introduces the concepts for
CW3. Quiz is on science and social simulations, not
game AI and hypothesis testing, but will discuss this
week's lectures in flipped classroom Tuesday, especially
multiple conflicting goals because that leads into ethics.
No quiz this week.
Game AI labs this week & after break
Coursework 2 due Monday
Friday quiz: 11-13 Coursework 3 handed out
||The lectures for Game AI
also bridge you into human-like behaviour, which will be
core for thinking about ethics. Who do you put first,
yourself or your team's goals? There's no simple answer.
||Culture, Language &
Cognition: I & II
Lecture 13 & 14 (double lecture)
Friday quiz: 15, 16
lectures, not video! Quiz after
Friday's lecture. Language bridges between social
cognition, learning, and is core to human ethics.
& Intelligence; Mind &
Lecture 15; Lecture 16
Coursework 3 due Monday.
Friday quiz: 17, 18
||Lab: Round-robin game
competition; if you can't make your lab you need to get
someone else to make your code run for you (NOT
(Video) lectures take a functionalist, empirical, science-driven perspective on topics critical to human society and ethics, in preparation for considering AI's role in ethics.
|| Ethics & Society;
Politics & Regulation
Lecture 17; Lecture 18
3 writeup due Monday
Friday quiz: 19, 20
not video! (But one was previous week.) This
material probably affects your coursework least, but
your career (and life) most, of any of the
(revision lecture Thursday)
|Beauty Competition in
Friday's lecture slot.
Robots must be disassembled by this week.
Unless they win the beauty competition!
Coursework 4 due for postgraduates.