s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
To manage load on large and dynamic networks we have developed Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute. A disadvantage of d...
“demonic” nondeterminism, representing abstraction from (or ignorance of) which of two program fragments will be executed. By introducing probabilistic nondeterminism into GCL,...
d Abstract) We extend the model of [VRV94] to express strong time-outs (and pre-emption): if an event A does not happen through time t, cause event B to happen at time t. Such con...