AI Expert Newsletter
AI - The art and science of making computers do interesting
things that are not in their nature.
July 2006
According to its home
page, the Society was founded in 1964, and is the largest Artificial
Intelligence Society in the UK. Activities include giving travel
grants, organising conferences, public lectures and other events,
and publishing the Interdisciplinary
Journal of Artificial Intelligence and the Simulation of Behaviour.
You can find out more about the AISB via the home page. My interest
here is to point you at its online publications; and you will find
these at the end of my links, below.
www.aisb.org.uk/index.shtml —
AISB home page.
www.aisb.org.uk/treasurer/travelawards.shtml
— AISB travel awards. Only of interest to those working in
the UK, I assume; but given the ever-present press for funding,
perhaps a lot of interest to them.
www.aisb.org.uk/aisbq/qreview.shtml
— AISB page on how to write book reviews and conference reports.
Intended for those writing for AISB Quarterly, but may be
useful to others. In particular, the section on conference reports
gives advice on how to structure the report, and would help those
set this task for the first time.
www.aisb.org.uk/publications/proceedings.shtml
— AISB Convention Proceedings. With online versions of proceedings,
symposia and workshops from 2000 to 2006, there's a wealth of material
here, although it isn't indexed by author. Amongst other goodies
are the three volumes of the 2006 Convention on Adaptation in Artificial
and Biological Systems; the Third
International Symposium on Imitation in Animals and Artifacts,
the Symposium
on Next Generation Approaches to Machine Consciousness, and
8 other links; through to 2000, which gives us AI
in Bioinformatics, AI
and Legal Reasoning, Designing
a Functioning Mind, and four other links.
www.aisb.org.uk/aisbq/index.shtml.
— Archive of the AISB Quarterly. This is a ten-plus-a-few
page newsletter of short articles, book reviews, and conference
reports. Online copies run from Autumn 2001 to Autumn 2005. Picking
a selection of articles at random, we have: Tim Blackwell on generating
music by self-organising swarm interactions; John Koza on the "high-return"
AI implemented by genetic programming; Joanna Bryson on the role
of emotions in modular intelligent control; and W. I. Sellers and
G. S. Paul on estimating how fast giant tyrannosaurs could run using
models generated by evolutionary robotics. Not to mention the exploits
of Father Hacker.
www.aisb.org.uk/aibites/ — AI
Bites. One-page explanations of: constraint solving;
evolutionary
computation; machine learning;
theorem proving;
computational
creativity; inspirations; and search. Useful for someone
with some computing experience but no AI. Written by Simon
Colton.
www.inf.ed.ac.uk/publications/author/simonco.html
— Colton's Web site was down when I tried it, but this link
points to reports he wrote while at the School of Informatics in
Edinburgh. These include Evaluating Machine
Creativity, and Cross Domain Mathematical
Concept Formation.
I found an interesting blog entry by John Hawks, Why
are organisms modular?. In it, he writes about a paper by
Nadav Kashtan and Uri Alon of the Weizmann Institute, Spontaneous
evolution of modularity and network motifs.
Consider experiments on evolving neural nets by genetic algorithm.
These typically result in nets that cannot be divided into functional
subcomponents. But biological evolution does seem to produce designs
with such components. DNA contains genes, but also other kinds of
functional element such as the promoters, enhancers, and insulators
that control when genes are activated. Proteins also can be divided
into different functional regions; and at a higher level, cells
are built from organelles, and bodies from organs.
What properties of biological evolution lead it to create modular
systems? That's the question explored by Kashtan and Alon. I'm reading
their work at the moment, but in the meantime, I'll point you at
John Hawks's write-up.
johnhawks.net/weblog/reviews/brain/culture/modular_evolution_circuits_kashtan_2005.html
— Why are organisms modular?, by John Hawks, Assistant
Professor of Anthropology, University of Wisconsin-Madison. Blog
entry for 21st September 2005.
www.weizmann.ac.il/mcb/UriAlon/Papers/SpontaneousEvolutionOfModularityAndNetworkMotifs.pdf
— Spontaneous evolution of modularity and network motifs,
by Nadav Kashtan and Uri Alon, Departments of Molecular Cell Biology
and Physics of Complex Systems, Weizmann Institute. Published in
Proceedings of the National Academy of Sciences of the USA,
Volume 102, Pages 13773–13778.
Back in November
2004, I mentioned Sodarace.
Using software developed by this joint venture between the Soda
arts company and Queen Mary college, users can build virtual creatures
from simulated springs, muscles and other body parts and then race
them against competitors. Creatures can also be designed by AI programs
— the Sodarace home page shows some examples — and saved
in XML for input to the Sodarace world. XML-minded readers might
be interested to see what
elements a Sodarace XML file contains.
Looking at Sodarace again to see what's new, I found a site devoted
to "sodaA+".
This is Sodarace software for teaching evolution to school students,
developed by a team of computer
science students from Queen Mary college as part of the Computer
Science For Fun project, "raising awareness that computers can
be fun, as well as educational". It's aimed at GCSE students in
UK secondary schools, but would surely be useful elsewhere.
The site includes a lesson
plans page. You can download lesson plans for inheritance of
genetic components, mutation, natural selection, and genetic engineering.
These come with what I assume to be references to the sections in
the UK National Curriculum to which they relate. To give an example,
the blurb for the natural selection lesson plan says:
Creatures change over time. This lesson plan is directed
towards the idea of Natural Selection, whereby the alterations best
suited to the environment give rise to greater reproductive success.
After a long enough period, creatures, in different environments
may have diverged to such an extent that new species have been created.
Most changes are not beneficial (but some are) and too many at one
time will result in a lack of success. Therefore, the process of
evolution is that of the gradual accumulation of small but advantageous
changes over a vast time-scale.
sodarace.net/index.jsp
— Sodarace.
sodaplay.com/constructor/beta/sodaconstructor.dtd
— For XML experts, this is the DTD for Sodarace creatures.
www.dcs.qmul.ac.uk/cs4fn/alife/sodaindex.html
— Queen Mary Computer Science For Fun Sodarace page.
www.dcs.qmul.ac.uk/sodarace/teaching/projects/sodaevolution/index.html
— Home page of sodaA+, the site for teaching evolution
with Sodarace.
www.dcs.qmul.ac.uk/sodarace/teaching/projects/sodaevolution/lessonplans.html
— The lesson plans.
www.royalsoc.ac.uk/exhibit.asp?id=3529
— Sodarace: humans vs machine intelligence. Popular-science
write-up of the Sodarace exhibit in the Royal Society's Summer 2005
Science Exhibition.
Maybe it's better to view Human Evolution as a peaked graph,
as opposed to an upwardly linear one. We have, in two thousand
years, perfected a technology of unimaginable potential, yet mostly
we just use it to make animals move their lips in TV adverts.
My own view of human development is best demonstrated as follows:
Find one of those 'Ages of Man' charts — the one that
progresses from a gangly chimp to a fully developed Homo Sapien.
Draw a little television remote control in the hand of each figure.
Then hold the chart up to a mirror. Surprise! You're in Kansas.
Quoted from Evolution in Reverse, comedian and writer Rich
Hall's commentary on the Kansas State Senate's bill to make
teaching evolution in public schools a crime. Published in his book
Things Snowball.
Past newsletters are available at either www.ddj.com
or www.ainewsletter.com.
As ever, interesting links and ideas for future issues are very
welcome.
Until next month,
Jocelyn <popx@j-paine.org>
For questions about the www.ainewsletter.com
site, contact Dennis
Merritt
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