There is growing interest in diffusion models to represent the cognitive and neural processes
of speeded decision making. Sequential-sampling models like the diffusion model have a …

There are few behavioral effects as ubiquitous as the speed-accuracy tradeoff (SAT). From
insects to rodents to primates, the tendency for decision speed to covary with decision …

This article explores how a collaboration technology called Artificial Swarm Intelligence
(ASI) addresses the limitations associated with group decision making, amplifies 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to adapt to changes by processing the latest information and discarding outdated beliefs.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 …

Metacognition concerns the processes by which we monitor and control our own cognitive
processes. It can also be applied to others, in which case it is known as mentalizing. Both …

Honeybees contradict the notion that insect behaviour tends to be relatively inflexible and
stereotypical. Indeed, they live in colonies and exhibit complex social, navigational and …

Honeybee swarms and complex brains show many parallels in how they make decisions. In
both, separate populations of units (bees or neurons) integrate noisy evidence for …

Abstract Human-in-the-loop (HITL) AI may enable an ideal symbiosis of human experts and
AI models, harnessing the advantages of both while at the same time overcoming their …

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 …

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 …