Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...
Spencer K. White, Tony R. Martinez, George L. Rudo...
Because of increasing hardware and software complexity, the running time of many computational science applications is now more than the mean-time-to-failure of highpeformance com...
Greg Bronevetsky, Daniel Marques, Keshav Pingali, ...
Grid computing is becoming more and more attractive to provide a convenient uniform platform for coordinating highly distributed and heterogeneous resources and services. GridPPI ...
A cognitive model of student programmers is presented. The model is based on protocol studies of students writing Pascal programs, and is implemented in a computer simulation prog...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The proposed approach relies on a bottom-up computation that does not require a prelimin...