We consider the problem of exploring the search tree of a CLP goal in pursuit of a target property. Essential to such a process is a method of tabling to prevent duplicate explorat...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Abstract. There are a range of abstractions used for both modelling and proof modern computational systems. While these abstractions may have been devised for specific purposes, t...
Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by organization artifacts. This abstract presents a programming language, which is d...
Temporal reasoning is widely used within both Computer Science and A.I. However, the underlying complexity of temporal proof in discrete temporal logics has led to the use of simp...