Putting aside any complaints about how the system works vs. how it ought
to: I've invented a few learning/AI algorithms, and some variants of
existing ones, too, among other things. As an "independent researcher"
myself, I'm a little clueless as to how to go about getting published. PM
suggested joining IEEE or AISB as a means to do so. Any other advice? Is
this the only route? Do these organizations provide assistance for total
newbs?

I aced all my undergraduate CS classes, but lost my scholarship & dropped
out due to personal issues (homelessness, among other things) before I
could finish up the non-major classes required to graduate from a state-run
school, so I don't even have a formal education according to the system,
despite my rather extreme autodidacticism. Combine this lack of credentials
with a complete lack of experience and virtually no one to ask for advice
(you guys are *it* for me), and I'm not sure how to open this door. Any
help, insight, or advice would be greatly appreciated.


Logan wrote:

> Maybe one day, there will be Open Science, which allows the participation
> of any being that has knowledge to contribute, (even if they didn't spend
> tens of thousands and years of their lives apprenticing.) along with Open
> Studies, where people can participate in a study by doing an experiment at
> home and posting results,  and Open Journals, that actually share the
> information that science has accumulated.


I have a couple of friends I'm working (very slowly) with to make this a
possibility. Right now we're just a reserved domain (http://scipubs.com/),
but eventually we hope to provide a fully functional open access
publication platform, with a system that literally allows anyone to
publish. (There will, of course, be certain fundamental standards for
publication of a particular paper, primarily regarding the style.)
Journals, similar to channels on YouTube, will review papers, and access to
the list of papers reviewed and accepted by a particular journal will be
visible provided you have either paid that journal for access (we take a
cut to pay for operation costs) or the journal makes their list available
for free. (Journals may also choose to have authors pay for the review
process instead of or in addition to readers.) So, in summary:


   1. Anyone can publish for free.
   2. Anyone can read any article for free.
   3. The peer review process is still an effective filter for separating
   the serious research from that of cranks and crooks, but this is a
   value-added paid service.


Our hope is that with the ability to support both open access/publication
alongside the peer review process in the same platform, those who are
economically, educationally, or opportunistically disadvantaged can still
contribute to the dialog of scientific progress. Additionally, for
researchers who are part of the "in" crowd but who are pressured into
publishing only their most mainstream research, a non-reviewed paper could
provide an alternative avenue for sharing exploratory/speculative papers
without having to measure up to the same standards as for primary research
publications.




On Thu, Dec 20, 2012 at 10:34 AM, Piaget Modeler
<[email protected]>wrote:

>  Todor, thanks for Stoychev's paper on Developmental Robotics. It's
> pretty good.
>
> The answer is quite simple:
>
> Build a system and write an e-book.  (Not necessarily in that order).
>
> Look at Mentifex (Arthur Murray). He's done it.  No bellyaching from him.
> No complaints.  He just works on his system,
> announces his new developments, and writes his book. I'm very impressed
> by his commitment.  He's a model for us all.
>
> If you want to attend conferences and publish papers, join an organization
> like IEEE or AISB and submit some papers to
> a conference. Very simple.
>
> Life moves on, and because you didn't get credit for some past ideas,
> that's life. You have to let that go and make room
> for new ideas.  Ensure that you don't repeat those mistakes, and ensure
> that you DO get credit for your original ideas
> in the future.
>
> The only one stopping you from being all that you can be is yourself.
>
> Be great. And let everyone know just how great you are.
>
> Cheers,
>
> ~PM.
>
>
>
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