Logistics
- Tu/Th 1400 (Lecture Theatre 2, Appleton Tower) F 1500 (Room 2.12, Appleton Tower)
- 30 lectures
- First lecture 21 September
- Last lecture 2 December
- 9 Tutorials
- 9 Lab
The official story
The official course descriptor is at
https://www.star.euclid.ed.ac.uk/ipp/cxinfr08020.htm We need to build a course website, to go at
http://www.inf.ed.ac.uk/teaching/courses/cg1/The document which Teaching Committee approved is
http://www.inf.ed.ac.uk/admin/committees/bos/meetings/11-12-09/cogsci1.pdf
Open questions
Teaching Assistant
Sorted!
Guest Lecture(rs)
- Lucky to get
- 1 person for a run of 3, maybe (from PPLS)
- Mark Steedman (actions / verbs / affordance)
- Simon Kirby
Assessed coursework topics x 3
- essay vs. practical
- Collaboration?
- Mixture in each assignment?
- topics
Exam Planning
- content
- format
- dummy example
Labs
- topics
- One (?) continuing topic -- design, execute, assess, model a phenom.
- Perception? (BW)
- Collective intelligence
- Pictionary game (Jon O -- please send me pointers!!!!)
- Bilateral development of pictures, then into a group
- Segmentation (Saffran et al.)
- Use some of the lectures for this too?
- software
See
SyllabusPlanning for topics, lecturer and timetable details
Topics
- Language -- U-shaped curve -- learning-- synthetic perception D' vs beta -- see LanguageTopic
- Memory and attention-- vision--see MemoryTopic
- synthesised line boundaries -- Dennett at TED, maybe
- Google's PageRank algorithm as a model of human memory
- Intro to the brain/ relevant neurology stuff [added by Alyssa]
- What are neurons and how do they "work" (trasmit information)
- Major brain structures, mostly those relating to our themes (language areas, prefrontal cortex, hippocampus-memory, amygdala if we do emotion, visual cortex)
- How this biological stuff relates to models of the brain and neural processes, and how it inspires connectionist models of language learning, memory, etc.
- Levels of analysis in cognition
- Three levels of analysis/ problem decomposition as described in David Marr's 'Vision." Implementation vs algorithmic level vs conceptual level of a problem. ** This might be a good thing to work through in a tutorial. The original section in Vision is only a few pages long, and very readable. It's a good piece to assign, and there are multiple copies of this book in the library.
- Type 1 vs Type 2 problems-- David Marr again, from his 1977 paper "Artificial Intelligence--A Personal View." Also very readbale.
Lecture breakdown
Intro: 1 or 2
Turing/Philosophy of Mind: 2
Review: 1
Theme x 2: 13
See LanguageTopic and MemoryTopic
Text(s) (maybe)
Need to explore
http://www.oup.com/uk/booksites/psychology -- goes with
Cognitive Psychology text from OU, also
Methods Companion: "Electronic versions of figures, experiment and data files, and software for running cognitive models" -- Library has a copy, costs 28GBP from Blackwells online
Alternative is Quinlan and Dyson -- Alyssa to review vision chapter:
http://books.google.com/books?id=SgeUWo4sUhAC&printsec=frontcover&source=gbs_atb#v=onepage&q&f=false Alyssa -- price is high: 34GBP from Blackwells Online
It would be best to get a parallel to the Pinker, if we could. . .Mark Steedman suggests Frisby, new edition
http://www.waterstones.com/waterstonesweb/products/john+p-+frisby/james+v-+stone/seeing/7247032/, library has only old (1979 !) edition, Richard Shilcock suggests
Memory / Alan Baddeley, Michael W. Eysenck, and Michael C. Anderson -- 7 copies in libraries -- worth looking at? Baddeley's earlier work on memory, with a similar ToC, is available online, in a somewhat degraded (no illustrations) version:
http://ezproxy.lib.ed.ac.uk/login?url=http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=10203
First lecture
- McGurk , Gorilla, http://www.youtube.com/watch?v=fjbWr3ODbAo starting at 14:40
- Real brains -- NMR film?
- Search -- chess, humans vs. machines
- Garden paths
- What is cogsci?