Abstract. Generic Programming deals with the construction of programs that can be applied to many dierent datatypes. This is achieved by parameterizing the generic programs by the...
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
Hybrid probabilistic programs framework [5] is a variation of probabilistic annotated logic programming approach, which allows the user to explicitly encode the available knowledge...
The increasing popularity of component-based programming tools offer a big opportunity to designers of advanced programming languages, such as Haskell. If we can package our progr...
Sigbjorn Finne, Daan Leijen, Erik Meijer, Simon L....
While class-based object-oriented programming languages provide a flexible mechanism for re-using and managing related pieces of code, they typically lack linguistic facilities fo...
Matthew Flatt, Shriram Krishnamurthi, Matthias Fel...