A critical aspect of an agent system is the ability to deal with unexpected situations to determine an appropriate course of action in a changing environment. In this paper, we inv...
We present a self-valuing learning technique which is capable of learning how to grasp unfamiliar objects and generalize the learned abilities. The learning system consists of two...
Group Decision Support Systems (GDSS) present important limitations that constrain their usage in current organisations. The fundamental reason is the lack of integration in the c...
As autonomous robots become increasingly adept at performing simple tasks like moving from place to place and picking up and delivering objects, it is becoming apparent that an im...
David Franklin, Roger E. Kahn, Michael J. Swain, R...
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...