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Learn About the FRDCSA 'Weak AI' Project (Video)

Today's interviewee, Andrew Dougherty, has a Web page that says he is "...an autodidact mathematician and computer scientist specializing in Artificial Intelligence (AI) and Algorithmic Information Theory (AIT). He is the founder of the FRDCSA (Formalized Research Database: Cluster Study & Apply) project, a practical attempt at weak AI aimed primarily at collecting and interrelating existing software with theoretical motivation from AIT. He has made over 90 open source applications, 400 (unofficial) Debian GNU/Linux packages and 800 Perl5 modules (see http://frdcsa.org/frdcsa)." Tim Lord says Andrew's project "brings together a lot of AI algorithms, collects large sets of data for those algorithms to chew on, and writes software to do things like ... guide your whole life." As you might guess, Andrew occupies a pretty far edge of the eccentric programmer world, as you'll see from this video (and transcript). He calls himself "a serious Stallmanite" (his word), and has chosen the GPL for his software in the hopes that it will therefore help the greatest number of people. (Speaking of help, he's looking for interesting data sets and various "life rules" that can be integrated with his planning software, and one of the reasons he presented at the recent YAPC::NA was to solicit help in putting his hundreds of Perl modules onto CPAN.)

1 of 52 comments (clear)

  1. Re:Had lunch with him at the conference by Anonymous Coward · · Score: 2, Informative

    Hi Krishna!

    The closest thing I have to a paper is this:

    http://frdcsa.org/~andrewdo/writings/Temporal-Planning-and-Inferencing-for-Personal-Task-Management-with-SPSE2.pdf

    Although the data was lost, there is a substantial amount of projects of the data (i.e. metadata) such as file listings, software names, and so on. Also earlier versions exist. So a lot of it can be reconstructed. Also the disk containing the data could still be recovered. But the code which fetches and manipulates the data is in tact. I am going to make a push to release it in a little bit on git hub. I don't think there's anything particularly special about the code, except that it tries to solve certain problems that I do not see an existing solution for, such as iterating over SourceForge and GitHub and packaging them, things like that. A lot is not done, but there are substantial components. By making APIs available we expose the capabilities of the software, for future integration.