This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
Large terrain databases require a great number of polygons and textures. In consequence, transmission of terrain data over slow networks is still worrying. Multiresolution models ...
Constructing models of systems that change their structure over time has proved to be a challenging problem, with several proposed solutions. We present two of these approaches an...
Fernando J. Barros, Bernard P. Zeigler, Paul A. Fi...
ON MODELING AT MULTIPLE LEVELS OF ABSTRACTION Perakath Benjamin Madhav Erraguntla Dursun Delen Richard Mayer Knowledge Based Systems, Inc. 1408 University Drive College Station, Te...
Perakath C. Benjamin, Madhav Erraguntla, Dursun De...