Often when formalising dynamic systems, constraints such as exactly “n” of a set of values hold. In this paper, we consider reasoning about propositional linear time temporal ...
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
We discuss how mobile agents, moving in the Internet from node to node, can communicate with each other by forwarding messages in a robust way. As a solution, we present the genera...
We present a slicing approach for analyzing logic programs with respect to non-termination. The notion of a failure-slice is presented which is an executable reduced fragment of th...
Abstract. Temporal programming languages are recognized as natural and expressive formalisms for describing dynamic systems. However, most such languages are based on linear ow of ...