All contributors to AAIP are invited to submit a full paper, but submission is open to everyone.
Inductive synthesis of general programs is a research topic of crucial interest for machine learning and artificial intelligence in general. The ability to generalize a program containing control structures as recursion or loops from examples is a challenging problem which calls for approaches going beyond the requirements of algorithms for concept learning. Pushing research forward in this area can give important insights in the nature and complexity of learning as well as enlarging the field of possible applications.
This special topic is intended to bring together research efforts from different machine learning communities -- such as inductive logic programming, genetic programming, synthesis of functional programs, grammar inference and algorithmic learning theory -- addressing the problem of inductive program synthesis. Furthermore, applications of inductive program synthesis in different domains are of interest.
Topics of interest include:
Follow JMLR's standard submission procedure as described at http://jmlr.csail.mit.edu/author-info.html.
For submission you need to register to the JMLR electronic submission management system: http://jmlr.csail.mit.edu/manudb/.
Please include a note stating that your submission is for the special topic on Approaches and Applications of Inductive Programming.
Ute Schmid (ute.schmid at wiai.uni-bamberg.de)
Roland Olsson (rolando at ia.hiof.no)