Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
: Competence development programmes are collections of units of learning and learning activities used to increase the overall effective performance of a learner within a certain ta...
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
There has been dramatic progress in the scope and power of plasma simulations in recent years; and because codes are generally cheaper to write, to run and to diagnose than experi...