Collectiveness is an important property of many systems—both natural and artificial. By
exploiting a large number of individuals, it is often possible to produce effects that go far …

Recent trends in pervasive computing promote the vision of Collective Adaptive Systems
(CASs): large-scale collections of relatively simple agents that act and coordinate with no …

Swarm behaviour engineering is an area of research that seeks to investigate methods for
coordinating computation and action within groups of simple agents to achieve complex …

Distributed collective systems are systems formed by homogeneous dynamic collections of
devices acting in a shared environment to pursue a joint task or goal. Typical applications …

The Internet of Things (IoT) and edge computing are fostering a future of ecosystems hosting
complex decentralized computations that are deeply integrated with our very dynamic …

Aggregate computing is a macro-approach for programming collective intelligence and self-
organisation in distributed systems. In this paradigm, a single “aggregate program” drives …

Recent trends like the Internet of Things (IoT) suggest a vision of dense and multi-scale
deployments of computing devices in nearly all kinds of environments. A prominent …

Engineering and programming approaches for collective adaptive systems often leverage
ensemble-like abstractions to characterise a subset of devices as a domain for a given task …

Recent research on collective adaptive systems and macro-programming has shown the
importance of programming abstractions for expressing the self-organising behaviour of …

Coordinating a multi-agent system of intelligent situated agents is a traditional research
problem, impacted by the challenges posed by the very notion of distributed intelligence …