Review of Collective Decision Making in Swarm Robotics Page 1 Journal of Al-Qadisiyah for
Computer Science and Mathematics, VOL16(1) 2024, PP Comp. 72-80 ∗Corresponding author …

In this paper we study a generalized case of best-of-n model, which considers three kind of
agents: zealots, individuals who remain stubborn and do not change their opinion; informed …

Making fast and accurate consensus decisions through local communication and
decentralised control in a swarm of simple robots can be a very challenging endeavour. In …

In this paper we study the effect of inflexible individuals with fixed opinions, or zealots, on the
dynamics of the best-of-n collective decision making problem, using both the voter model …

Robot swarms are generally considered to be composed of cooperative agents that, despite
their limited individual capabilities, can perform difficult tasks by working together. However …

Grammatical evolution can be used to learn bio-inspired solutions to many distributed
multiagent tasks, but the programs learned by the agents often need to be resilient to …

Biologically inspired collective decision-making algorithms show promise for implementing
spatially distributed searching tasks with robotic systems. One example is the best-of-N …

Many terrestrial and aquatic organisms, such as ants, termites or fish, live in communities
that resemble larger and more capable organisms thanks to the delicate coordination of the …

Humans and animals often choose between options with different qualities. When the
decisions are not determined by one or a few individuals leading a group, a collective can …

Can heterogeneity be a cost-effective solution for swarm robotics? Motivated by what we see
in animal groups, especially eusocial insect colonies, that exploit behavioural heterogeneity …