This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Abstract. We present a framework for a declarative approach to spatiotemporal reasoning on geographical data, based on the constraint logical language STACLP, which offers deducti...
I introduce a temporal belief-network representation of causal independence that a knowledge engineer can use to elicit probabilistic models. Like the current, atemporal belief-ne...
Interval-valued computation is an unconventional computing paradigm. It is an idealization of classical 16-, 32-, 64- etc. bit based computations. It represents data as specific ...
In order to support verification, validation and analysis of dynamic Operations Research (OR) models a method of testing models against data is required. In the case of the QCM qu...