Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
We present an application prototype of dynamic knowledge representation programmed in LUPS (a language for updating logic programs). This is a case study to model intelligent agen...
Juan Carlos Acosta Guadarrama, Mauricio Javier Oso...
A new dynamic subdivision surface model is proposed for shape recovery from 3D data sets. The model inherits the attractive properties of the Catmull-Clark subdivision scheme and ...
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Ligation is a form of chemical self-assembly that involves dynamic formation of strong covalent bonds in the presence of weak associative forces. We study an extremely simple form ...
Mark A. Bedau, Andrew Buchanan, Gianluca Gazzola, ...