Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Abstract. This paper deals with self-adapting software that is structured according to a control theory architecture. Such software contains, in addition to its main function, two ...
Mieczyslaw M. Kokar, Kevin M. Passino, Kenneth Bac...
We describe extensions to a finite-state dialogue manager and its author scripting language that enable control over content repetition during tutorial dialogue. The problem of co...
Pamela W. Jordan, Patricia L. Albacete, Kurt VanLe...
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
The accurate control of process parameters is particularly important for the growth of high quality structures during laser cladding. Melt pool size and cross sectional area are k...