The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
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...
Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...
We propose L-nets as a game model of concurrent interaction. L-nets, which correspond to strategies (in Games Semantics) or designs (in Ludics), are graphs rather than trees; the ...
Most direct manipulation tasks rely on precise placements of the cursor on the object of interest. Commonly, this requires the knowledge of distinct application-dependent geometry...