Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To provide empathic capabilitie...
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...
The importance of affect in delivering engaging experiences in entertainment and educational games is well recognized. Yet, current techniques for building affect-aware games are l...
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
This paper presents an exploration of the differences between agent-based and population-based models for trust dynamics. This exploration is based on both a large variety of simu...
In the last decade we witnessed an increased demand for employment of unmanned aerial vehicles (UAV) in practise. For instance, there is a growing need to provide surveillance task...
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
Taolue Chen, Marta Z. Kwiatkowska, David Parker, A...
We propose a logical framework to represent and reason about some important aspects of a theory of institutional action: (1) the distinctions between physical facts and actions and...
In this paper we extend the logic of violation proposed by [14] with time, more precisely, we temporalise that logic. The resulting system allows us to capture many subtleties of t...