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A reader (Jim) added this comment to my post on Linux and NetBeans and it got me thinking in a bit more detail about all the courses I’ve done from 2001 to now and what ‘unites’ a lot of quite disparate subject areas:

Going from English and Philosophy, to Psychology and Computing into Design is certainly an unusual path to take!

[...]

You should have a look at T214 and T306, the Systems courses, I think you’ll find they bring together a lot of what you seem to be interested in.

I suppose the common theme with many or all of the subjects I’ve worked with is the idea of the object of study (whether that’s a literary work, Java program, AI simulation of emergent systems, social scientific ‘phenomenon’ etc) exists as a system with linked and interacting parts, rather than a lot of details to remember – one of the reasons I’m not too keen on subjects such as “pure” science, history etc … Maybe this is a way of approaching study (or approaching anything, really) rather than being inherent in the subject itself, and some subjects are just more ‘open’ to being viewed in this sort of way.

In that sense I agree it’s an unusual path but also linked at a ‘deeper’ level… the difficulty I suppose is how to get this across to people rather than coming over as something of a ‘drifter’ or ‘indecisive’ in that I’ve seemed to study a little about a lot of things rather than a lot about increasingly specialised areas… the main reason a PhD doesn’t appeal at all (though I would like to be Dr. Jane Doe of course!)

It just makes a lot more sense to view something like language, a computer program, designed object etc etc as being made up of a lot of small parts and that it’s combining the parts (and knowing how to combine them!) that causes a system to be ‘good’ or otherwise… A lot of the non-academic stuff I’m interested in, such as making music (I play guitar and bass) follow the same principle really, with separately interacting elements making up something ‘more’ that’s ultimately viscerally rather than intellectually experienced.

The Systems courses are something I’ve looked at before and put on the mental ‘future courses’ list but not pursued in any detail yet – mostly because as 60 point courses they are quite a commitment and expense considering that now I’ve already done a Bachelor’s and a Master’s it’s primarily for ‘fun’ and personal development… though I think mostly the aversion to 60 points on one course is because it then cuts off options for what can be done additionally (in terms of scheduling, and also with the maximum 120 points or 1 month overlap for more rule). The worst part of having to make a decision to do something is the sense of cutting off other options and that’s probably why I’ll work my way through all interesting (to me) subject areas and miss out anything that appears to me just an unrelated collection of details to memorise!

Logic (see comment)

Note (June 2008): since writing this it appears from the logs that this may have been linked to on ‘FirstClass’ somewhere. Please take note of my comment below in the context of this post and remember that this was written at a very early stage in the course.

I’ve been looking ahead a bit through M366 and also some of the people on the course have already reached Block 2 in their reading (!! – the official start of the course isn’t until the 6th October – I am starting to feel behind already compared to these people!) hence the ‘discovery’ that this course is in fact a lot more technical than I had expected and that that is a Good Thing.

One of the things appearing throughout the blocks is the application of ‘formal logic’ to the field of artificial intelligence. Obviously when building an ‘intelligent’ system this sort of thing is bound to come into it but it struck me that in this sense M366 is a more natural progression from M263, which introduced formal logic in an abstract way and also had a section on AI at the end – leading into this subject quite nicely.

I’ve never really been able to figure out which ‘discipline’ logic is meant to come under, whether it’s philosophy or maths or programming or any/all of these… according to Wikipedia:

Traditionally, logic is studied as a branch of philosophy, one part of the classical trivium, which consisted of grammar, logic, and rhetoric. Since the mid-nineteenth century formal logic has been studied in the context of foundations of mathematics, where it was often called symbolic logic.

It isn’t (or shouldn’t be) really possible to get as far as Masters level by taking a simplistic view of ‘X should fit into Y pigeonhole’ but sometimes it is useful to be able to know ‘where’ something fits in the scheme of things (if there is such a thing). Personally I would love to know where to find more courses on logic and related subjects as it was one of the bits I enjoyed most about M263 – the notation seems intimidating at first though and I think maybe that’s why people tend to struggle with it initially – many of the OU courses seem to be focused on practical applications rather than studying it as a formal system ‘abstractly’ in its own right – part of a general trend in all academic subjects I expect though.

As I go into this subject further I’d like to write more about it on here as I find it really interesting and yet technically challenging as well.

Definitely thinking along the lines of M366 is going to turn out to be the ‘right’ choice of course this year (though this is taking a bit of a verificationist view – naturally anything I find difficult or boring will probably be forgotten and only the bits supporting my ‘hypothesis’ will be commented on!)

Background reading for Artificial Intelligence

Going through some old OU books from the first courses I did (U210 (English Language) and A211 (Philosophy and the Human Situation)) I came across the fifth book of six for A211: “Minds and Bodies, by Robert Wilkinson”:http://www.amazon.co.uk/Minds-Bodies-Philosophy-Human-Situation/dp/0749287543
(which now also has a ‘new’ edition – not that new any more though as it’s from 2000! How come we had the old one when I took this course in 2001 then? hmm)

This seems like it could be quite useful as some preliminary reading for M366 (Natural and Artificial Intelligence), dealing with questions such as the mind-body problem and whether machines can really “think” in a slightly different way from the approach M366 seems to take (according to the information in the prospectus!)… it’s been a while since I looked at this stuff, so could be pretty useful!