A few points about Java and speed etc.
Java can rival C for speed, depending what you
do with it.
Unfortunately, really 'nicely' designed code
can be significantly slower than code written
specifically with efficiency in mind.
I accept that in principle one should aim for clean
and
Three alternative options to Java's native serialisation:
* Object database db4o: http://db4o.com
* WOX (Web Objects in XML) (my own)
http://algoval.essex.ac.uk/wox/serial/readme.html
* JSON (JavaScript Object Notation) - also has Java libraries.
Simon Lucas
-Original
A while ago someone on this list was asking about places
to publish computer go papers.
I'd invite you all to consider the new journal,
IEEE Transactions on Computational Intelligence and AI
in games.
This will start accepting submissions in August/September
ready for the first
The IEEE Transactions on Computational Intelligence and AI in Games
invites submissions on computer go - many of the ideas discussed on
this list are of core interest to the journal.
The journal offers an efficient and thorough review process. Currently
the
average time between
This may be of interest to readers of this list.
We are looking for people of outstanding
ability who are passionate about research and
education.
The lectureships are in:
· Computer Science and Artificial Intelligence
· Computer Games and Artificial Intelligence
·
Dear all,
We have two fully funded PhD studentships available for UK/EU students,
closing date two weeks today (June 18).
https://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=7722
Best wishes,
Simon Lucas
Professor Simon Lucas
Head of School
Computer Science and
Did I read that correctly? The number of playouts per second
for Many Faces has gone DOWN by a factor of 10? (25,000 -> 2,500)
Presumably do to the playouts being heavier.
Simon
-Original Message-
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of
David
I have an opening for a post-doc (senior research officer)
to work on General Video Game AI. The aim is
to further develop hybrid approaches involving:
· Monte Carlo Tree Search
· Rolling Horizon Evolutionary Algorithms
· Deep Neural Networks
The methods will be
EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence
(IGGI)
11 fully-funded 4-year studentships available for 2016/17
Covers fees at Home/EU rate and a tax-free stipend
IGGI is an exciting opportunity for you to undertake PhD research in
Intelligent Games and Game
Indeed – Congratulations to Google DeepMind!
It’s truly an immense achievement. I’m struggling
to think of other examples of reasonably mature
and strongly contested AI challenges where a new
system has made such a huge improvement over
existing systems – and I’m still struggling …
Simon Lucas
nce of that result.
>= 10% is -50 to 670 ELO
>= 1% is -250 to 1190 ELO
My numbers may be slightly off from eyeballing things in a simple excel sheet.
The idea and ranges should be clear though
On Mar 22, 2016 12:00 PM, "Lucas, Simon M"
<s...@essex.ac.uk<mailto:s...@essex.
my point is that I *think* we can say more (for example
by not treating the outcome as a black-box event,
but by appreciating the skill of the individual moves)
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of
uurtamo .
Sent: 22 March 2016 16:25
To: computer-go
Hi all,
I was discussing the results with a colleague outside
of the Game AI area the other day when he raised
the question (which applies to nearly all sporting events,
given the small sample size involved)
of statistical significance - suggesting that on another week
the result might have been
In my original post I put a link to
the relevant section of the MacKay
book that shows exactly how to calculate
the probability of superiority
assuming the game outcome is modelled as
a biased coin toss:
http://www.inference.phy.cam.ac.uk/itila/
I was making the point that for this
and for
)
in Go and Hex
"Blunder Cost in Go and Hex"
so this might be a starting point for your question
of measuring player strength by measuring
all move strengths...
https://webdocs.cs.ualberta.ca/~hayward/papers/blunder.pdf
On Wed, Mar 30, 2016 at 5:29 AM, Lucas, Simon M
<s...@essex.ac
Dear all,
We have FIVE fully funded PhD studentships available,
with topic areas including Game AI, Optimisation and
Deep Learning and Neural Networks.
Closing date Feb 28.
https://www.essex.ac.uk/csee/fees_and_scholarships/default.aspx
Best wishes,
Simon
Professor Simon Lucas
Head of CSEE
Dear all,
Please see below: deadline is FRIDAY Jan 27.
Best wishes,
Simon Lucas
From: Lucas, Simon M
Sent: 07 October 2016 17:20
To: ciga...@googlegroups.com; genetic_programm...@yahoogroups.com;
Connectionists List <connectioni...@cs.cmu.edu>; 'computer-go@computer-go.org'
<co
EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence
(IGGI)
11 fully-funded studentships to start September 2017
Covers fees at Home/EU rate and a stipend for four years
IGGI is an exciting opportunity for you to undertake a four-year PhD in
Intelligent Games and Game
The intelligible reason is that focussing on the win or loss
means that the bot is focussing on what actually matters: winning
and not losing. If the bot focuses on the margin of victory
the play can be skewed to aim for big wins that may not
happen while paying insufficient attention to small
19 matches
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