We present an algorithmic framework for learning multiple related tasks. Our framework exploits a form of prior knowledge that relates the output spaces of these tasks. We present...
The ability to give explanations for its reasoning and behaviour is a core capability of an intelligent system. There are a number of different goals a user can have towards such e...
Abstract. This paper presents a complete temporal STIT logic for reasoning about multi-agency. I discuss its application for reasoning about norms, knowledge, autonomy, and other m...
Functional verification of systems is aimed at validating the integration of previously verified components. It deals with complex designs, and invariably suffers from scarce re...
Different kinds of agents in a multi-agent system have different knowledge structure, which results in difficulties of interaction and coordination among agents. At present, ontol...