This work proposes a new architecture and execution model called 2D-VLIW. This architecture adopts an execution model based on large pieces of computation running over a matrix of...
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates...
The phenomenon of diminishing returns for additional search effort has been observed by several researchers. We study experimentally additional factors which influence the behavio...
Self-adjusting programs respond automatically and efficiently to input changes by tracking the dynamic data dependences of the computation and incrementally updating the output as...