Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particu...
Swaroop Vattam, Ashok K. Goel, Spencer Rugaber, Ci...
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...