LCS and Software Development
“On the Road to Competence” is a slide deck by Jurgen Appelo with interesting analogies between learning classifier systems and software development. Definitely worth taking a look at it.
Posts
GAssist and GALE Now Available in Python
Ryan Urbanowicz has released Python versions of GAssits and GALE!!! Yup, so excited to see a new incarnation of GALE doing the rounds. I cannot wait to get my hands on it. Ryan has also done an excellent job porting UCS, XCS, and MCS to Python and making those implementations available via “LCS & GBML central” for people to use. I think Ryan’s efforts deserve recognition. His code is helping others to have an easier entry to the LCS and GBML....
GECCO 2010 Around the Bend, GECCO 2011 Gearing Up
GECCO 2010 is getting ready to open July 7th at Portland (Oregon). But GECCO does not sleep and the 2011 edition is gearing up to take the torch after Portland. There is currently an announcement “GECCO 2011: Call for New Frontiers Track Proposals”. The deadline is June 30th, and you can get more information at http://goo.gl/m4my or at the public GECCO 2011 public announcements Wave (embedded below). You can follow GECCO 2011 on Twitter at @GECCO2011, join the group at GECCO 2011 on FaceBook or just Wave with GECCO 2011....
LCS & GBML Central Gets a New Home
Today I finished migrating the LCS & GBML Central site from its original URL (http://lcs-gbml.ncsa.uiuc.edu) to a more permanent and stable home located at http://gbml.org. The original site is already currently redirecting the trafic to the new site, and it will be doing so for a while to help people transition and update bookmarks and feed readers. I have introduced a few changes to the functionality of the original site. Functional changes can be mostly summarized by (1) dropping the forums section and (2) closing comments on posts and pages....
Scaling eCGA Model Building via Data-Intensive Computing
I just uploaded the technical report of the paper we put together for CEC 2010 on how we can scale up eCGA using a MapReduce approach. The paper, besides exploring the Hadoop implementation, it also presents some very compelling results obtained with MongoDB (a document based store able to perform parallel MapReduce tasks via sharding). The paper is available as PDF. Technical report Abstract: This paper shows how the extended compact genetic algorithm can be scaled using data-intensive computing techniques such as MapReduce....