This paper surveys the literature over the last decades in the field of self-organizing
multiagent systems. Self-organization has been extensively studied and applied in …

The ability to collectively choose the best among a finite set of alternatives is a fundamental
cognitive skill for robot swarms. In this paper, we propose a formal definition of the best-of-n …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

To effectively perform collective monitoring of dynamic environments, a robot swarm needs
to adapt to changes by processing the latest information and discarding outdated beliefs. We …

Achieving fast and accurate collective decisions with a large number of simple agents
without relying on a central planning unit or on global communication is essential for …

In order to be effective, collective decision-making strategies need to be not only fast and
accurate, but sufficiently general to be ported and reused across different problem domains …

We study a self-organized collective decision-making strategy to solve the best-of-n decision
problem in a swarm of robots. We define a distributed and iterative decision-making strategy …

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 …

Collective decision making is the ability of individuals to jointly make a decision without any
centralized leadership, but only relying on local interactions. A special case is represented …

Swarm robotics has experienced a rapid expansion in recent years, primarily fueled by
specialized multi-robot systems developed to achieve dedicated collective actions. These …