Collective self-adaptive systems (CSAS) are distributed and interconnected systems
composed of multiple agents that can perform complex tasks such as environmental data …

Implementing artificial intelligence (AI) in the Internet of Things (IoT) involves a move from
the cloud to the heterogeneous and low-power edge, following an urgent demand for …

Smart cameras perform on-board image analysis, adapt their algorithms to changes in their
environment, and collaborate with other networked cameras to analyze the dynamic …

We investigate a formal characterisation of interactional justice asa mechanism for self-
organisation of institutional rules in an open system, in order to address issues of …

At the current time, there are several fundamental changes in the way computing systems
are being developed, deployed and used. They are becoming increasingly large …

Increased self-awareness in computing systems can be beneficial in several respects,
including a greater capacity to adapt, to build potential for future adaptation in unknown …

Camera networks become smart when they can interpret video data on board, in order to
carry out tasks as a collective, such as target tracking and (re-) identification of objects of …

This article addresses the research problem of how to autonomously control Pan/Tilt/Zoom
(PTZ) cameras in a manner that seeks to optimize the face recognition accuracy or the …

When maximising the coverage of a camera network, current approaches rely on a central
approach and rarely consider the decentralised or even self-organised potential. In this …

Coalition formation has been a fundamental form of resource cooperation for achieving joint
goals in multiagent systems. Most existing studies still focus on the traditional assumption …