We describe a generic framework for representing and reasoning with annotated Semantic Web data, formalise the annotated language, the corresponding deductive system, and address ...
Umberto Straccia, Nuno Lopes 0002, Gergely Lukacsy...
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...
The paper proposes a unification of the two main frameworks commonly used for the analysis of collective decisionmaking: the framework of preference aggregation, developed from t...
The ability to achieve one’s goals is a defining characteristic of intelligent behaviour. A great many existing theories, systems and research programmes address the problems a...
We present a framework for verifying systems composed of heterogeneous reasoning agents, in which each agent may have differing knowledge and inferential capabilities, and where t...
Natasha Alechina, Brian Logan, Nguyen Hoang Nga, A...