We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
In the context of previous work on redundant modeling, permutation problems and matrix modeling, we introduce the notion of partial redundant modeling and categorical channeling co...
In this paper we introduce a function-defined extension of Virtual Reality Modeling Language where analytical formulas are used for defining geometry and appearance of 3D shapes. ...
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...
View merging is an important activity in any conceptual modeling language. It is often desirable to combine a set of views to gain a unified perspective, to test hypotheses about...