This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Soft computing is progressively gaining presence in the financial world. The number of real and potential applications is very large and, accordingly, so is the presence of applied...
Human beings share a common competence for generating relevant arguments. We therefore hypothesize the existence of a cognitive procedure that enables them to determine the content...
In this paper we attempt to give an account of reasoning with legal cases contextualised within a general theory of persuasion in practical reasoning. We begin by presenting our g...
Katie Greenwood, Trevor J. M. Bench-Capon, Peter M...
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...