We present a monitoring tool for plan execution in non-deterministic environments, which are described in an action language, based on non-monotonic logic programming. Thanks to it...
Abstract-This paper deals with enhancing the level of autonomy in a robotic work cell. With that mission in mind, we present here an integrated framework for the sensing, the plann...
Abstract- Monte Carlo simulations have been successfully used in classic turn–based games such as backgammon, bridge, poker, and Scrabble. In this paper, we apply the ideas to th...
A promising technique used in some planning systems to improve their performance is the use of domain dependent search control knowledge. We present a procedure for compiling sear...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...