Abstract. I review theories and research on the cognitive processing of environmental distance information by humans, particularly that acquired via direct experience in the enviro...
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
Abstract. The CASE tool ArgoUWE supports the systematic design of Web applications using the UML-based Web Engineering (UWE) approach. The design methodology of UWE is based on a m...
Alexander Knapp, Nora Koch, Gefei Zhang, Hanns-Mar...
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...