Re: We have has NoSQL Summer and Functional Fall, it is time to start preparing for AI Winter!

[Jim Snavely <ludflu@gmail.com>]

I will vote for the Shannon paper - the father of modern information
theory: yes please!

I think it will be especially interesting to hear his thoughts on a
discrete problem like chess because I normally associate Shannon with
probablistic reasoning. To me a more "representative" Shannon paper
would be "Prediction and Entropy of Printed English"
(http://www.princeton.edu/~wbialek/rome/refs/shannon_51.pdf) But Chess
is probably more fun!

The Canny paper wouldbe an interesting choice. Its a measure of how
much progress AI has made that most people no longer consider edge
detection to be AI.

I would also like to nominate a more modern choice, which I think will
also be a bit more accessible  because it touches on a critical divide
in modern AI - between probablistic, bottom-up methods, and
rationalistic, top-down thinking.

"On Chomsky and the Two Cultures of Statistical Learning" by Peter Norvig
http://norvig.com/chomsky.html

It also has the virtue of being a raw cage match between two
intellectual heavyweights, both of who I admire tremendously.

--Jim

On Wed, Apr 18, 2012 at 8:52 PM, Lalish-Menagh, Trevor <trev@trevmex.com> wrote:
> I am glad there is interest in the group.
>
> Let's start with throwing out some paper ideas. I'll start:
>
> Claude Shannon (1950). "Programming a computer to play chess"
> (http://archive.computerhistory.org/projects/chess/related_materials/text/2-0%20and%202-1.Programming_a_computer_for_playing_chess.shannon/2-0%20and%202-1.Programming_a_computer_for_playing_chess.shannon.062303002.pdf)
>
> A.M. Turing (1950). Turing: Computing Machinery and Intelligence. By
> Alan M. Turing (1950). Mind 59 (Oct 1950): 433-60. ["Originally
> published by Oxford University Press on behalf of MIND (the Journal of
> the Mind Association), vol. LIX, no. 236, pp. 433-60, 1950. Published
> on the abelard site by permission of Oxford University Press."] An
> all-time classic paper that discusses the prospects of AI and
> dismisses some still-current arguments against AI. Introduction of the
> Turing Test as a way of operationalizing a test of intelligent
> behavior. (PDF file of the orignal journal article downloadable from
> Oxford University Press).
> (http://mind.oxfordjournals.org/content/LIX/236/433.full.pdf+html)
>
> McCarthy, et al. (1955). A Proposal for the Dartmouth Summer Research
> Project on Artificial Intelligence. J. McCarthy, M. L. Minsky, N.
> Rochester, and C.E. Shannon. August 31, 1955. "We propose that a 2
> month, 10 man study of artificial intelligence be carried out during
> the summer of 1956 at Dartmouth College in Hanover, New Hampshire. The
> study is to proceed on the basis of the conjecture that every aspect
> of learning or any other feature of intelligence can in principle be
> so precisely described that a machine can be made to simulate it." And
> this marks the debut of the term "artificial intelligence."
> (http://www-formal.stanford.edu/jmc/history/dartmouth.pdf)
>
> John McCarthy (1960). Recursive Functions of Symbolic Expressions and
> Their Computation by Machine, Part I. "This was the original paper on
> LISP. It is copied with minor notational changes from CACM, April
> 1960. If you want the exact typography, look there. A few
> typographical changes have been made, but the notation has not been
> modernized. There are also some new explanatory footnotes. Part II,
> which never appeared, was to have had some Lisp programs for algebraic
> computation." - from his list of Papers on Programming Languages (I
> know we did this on, but it bears repeating:
> http://www-formal.stanford.edu/jmc/recursive.pdf)
>
> Philip E. Agre and David Chapman (1987). Pengi: An Implementation of a
> Theory of Activity. "AI has generally interpreted the organized nature
> of everyday activity in terms of plan-following. Nobody could doubt
> that people often make and follow plans. But the complexity,
> uncertainty, and immediacy of the real world require a central role
> for moment-to-moment improvisation." AAAI "Classic Paper" Award in
> 2006 for the paper's contribution to the field (and resurgence) of
> reactive planning.
> (http://www.aaai.org/Papers/AAAI/1987/AAAI87-048.pdf)
>
> John Canny (1983). A Variational Approach to Edge Detection. "The
> problem of detecting intensity changes in images is canonical in
> vision. Edge detection operators are typically designed to optimally
> estimate first or second derivative over some (usually small) support.
> Other criteria such as output signal to noise ratio or bandwidth have
> also been argued for. This paper describes an attempt to formulate set
> of edge detection criteria that capture as directly as possible the
> desirable properties of the detector." AAAI "Classic Paper" Award in
> 2002 in recognition of the wide use of the Canny Edge Detector
> introduced in this paper as well as seminal contributions in the areas
> of robotics and machine perception.
> (http://www.aaai.org/Papers/AAAI/1983/AAAI83-030.pdf)
>
> John McDermott (1980). R1: An Expert in the Computer Systems Domain.
> "R1 is a rule-based system that has much in common with other
> domain-specific systems that have been developed over the past several
> years. It differs from these systems primarily in its use of Match
> rather than Generate-and-Test as its central problem solving method;
> rather than exploring several hypotheses until an acceptable one is
> found, it exploits its knowledge of its task domain to generate a
> single acceptable solution." AAAI "Classic Paper" Award in 1999.
> (http://www.aaai.org/Papers/AAAI/1980/AAAI80-076.pdf)
>
> Other good jumping off points:
> http://aaai.org/AITopics/MostCitedPapers
> http://www.jair.org/bestpaper.html
>
> Let's get some debate going!
>
> Yours,
> Trevor
>
> On Wed, Apr 18, 2012 at 4:38 PM, greg conant <greg.conant@gmail.com> wrote:
>> i'm pretty excited for this idea too (and not just because of the cool
>> name!).  it's been too long since i read anything about AI, so it'll be fun
>> to get a refresher.
>> greg
>>
>>
>> On Mon, Apr 16, 2012 at 12:56 PM, Jim Snavely <ludflu@gmail.com> wrote:
>>>
>>> Seconded. This is a great idea. I've dabbled in a couple of the
>>> stanford AI classes that have been going on recently.
>>>
>>> But I think the reading group format is great, and more accessible for
>>> folks with limited time.
>>>
>>> On Sun, Apr 15, 2012 at 1:33 PM, Corey Leigh Latislaw <colabug@gmail.com>
>>> wrote:
>>> > Trevor,
>>> >
>>> > Sounds like a great idea!
>>> >
>>> > I'd also like to propose a beginners spring for next year. It'd be great
>>> > to
>>> > get a general intro for the functional curious! I didn't feel that I had
>>> > a
>>> > ton to contribute at Functional Fall last year because I had very little
>>> > intro into the topic.
>>> >
>>> > Thanks,
>>> > Corey
>>> >
>>> > --
>>> > Let's connect!
>>> > coreylatislaw.com
>>> >
>>> >
>>> >
>>> > On Sat, Apr 14, 2012 at 12:53 PM, Lalish-Menagh, Trevor
>>> > <trev@trevmex.com>
>>> > wrote:
>>> >>
>>> >> Hi all,
>>> >>
>>> >> Winter is a ways off, but I thought I would kick start the discussion
>>> >> on our next endeavor: AI Winter (named after
>>> >> http://en.wikipedia.org/wiki/AI_winter). Some of us were talking at
>>> >> Philly ETE about this and I would like to make it an international
>>> >> event like NoSQL Summer was.
>>> >>
>>> >> I'd like to start with getting a list of papers together, but I am
>>> >> unsure where to start. The Journal for Artificial Intelligence
>>> >> Research best papers might be a good place
>>> >> (http://www.jair.org/bestpaper.html), but some intro papers would be
>>> >> really good as well.
>>> >>
>>> >> Once we have some papers in mind, I am going to reach out to the NoSQL
>>> >> Summer organizers for some promotional ideas.
>>> >>
>>> >> Looking forward to some good talks this winter!
>>> >>
>>> >> Yours,
>>> >> Trevor
>>> >> --
>>> >> Trevor Lalish-Menagh
>>> >> trev@trevmex.com
>>> >> 484.868.6150 (mobile)
>>> >> trevmex (AIM)
>>> >
>>> >
>>>
>>>
>>>
>>> --
>>> --Jim
>>
>>
>
>
>
> --
> Trevor Lalish-Menagh
> trev@trevmex.com
> 484.868.6150 (mobile)
> trevmex (AIM)



-- 
--Jim