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Researchers argue that decentralised AI societies face a coordination problem fundamentally different from ordinary message delivery. Autonomous agents have limited capacity to read and retain incoming information.

Researchers have developed a method for robotic swarms to construct collective shapes through local interactions rather than a predefined deployment-wide attachment list.

Networks of autonomous language-model agents can develop polarised social structures through repeated local interactions, without being instructed to form opposing groups.

A newly dated conference programme reveals substantial research activity in decentralised space robotics and cooperative planetary exploration. The joint i-SAIRAS and iSpaRo symposium takes place in Cologne, Germany, from 3 to 6 November 2026.

An interdisciplinary symposium in Berlin will examine whether intelligence across radically different biological and artificial systems shares common organisational principles.

Autonomous agents can develop a common communication language through repeated local interactions, without a central computer establishing vocabulary or rules.

A real-world intrusion campaign used hundreds of coordinated AI agents to compress exploit development and mass compromise into machine-speed parallel work.

AURA Foresight has demonstrated an autonomous wildfire system in which fixed sensors, AI and a drone swarm form a distributed detect-verify-respond chain.

In part one of this series, we looked at a simple example of cellular automata in the form of the Game of Life.

Researchers from the University of Michigan set out to discover whether scientists could get round that lack of data by piggy-backing on research carried out on humans.

This paper proposes “Embodied Collective Intelligence,” where robot teams share world memory, task progress, and skill experience without becoming a centralized super-agent.

Pentest Swarm AI uses a shared blackboard, pheromone-weighted findings, and decentralized agent triggers to let attack paths emerge instead of following a fixed pipeline.