Decision making models for autonomous agents have received increased attention, particularly in the field of intelligent robots. In this paper we will show how a Defeasible Logic ...
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
Abstract. This paper extends a programming language for implementing cognitive agents with the capability to explicitly represent beliefs and reason about them. In this programming...
In several applications of logic programming and Transaction Logic, such as, planning, trust management and independent Semantic Web Services, an action might produce incomplete f...
This work focuses on an emerging extension to traditional agent models, called Hierarchical Mobile Agents model, where an agent can contain other agents recursively. The model ena...