In this paper we consider how a BDI agent might determine its best course of action. We draw on previous work which has presented a model of persuasion over action and we discuss ...
Katie Atkinson, Trevor J. M. Bench-Capon, Peter Mc...
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Abstract. Policies are declarations of constraints on the behaviour of components within distributed systems, and are often used to capture norms within agent-based systems. A few ...
Murat Sensoy, Timothy J. Norman, Wamberto Weber Va...
Retrieving relevant information in Data and Knowledge Bases containing a large number of di erent types of information is a non trivial problem. That is the reason why, in areas l...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...