Artificial vs Natural Intelligence
Over this 7-part series, we’ve explored how natural systems — ants, bees, birds, and brains — solve problems through emergence, not instruction.
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Agentic Swarms - Lessons from Nature for Enterprise AI
A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud.
08-Jun-2026
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Series sampler
History of A-E
adaptive-emergent now has a more focussed direction. Part one of this series looked at the history from 2015 to 2021; Part two explained why adappt.
View seriesAgentic Swarms - Lessons from Nature for Enterprise AI
A great article to capture the principles we use at adaptive-emergent. Lessons forgotten in the cloud.
08-Jun-2026
Read moreA milestone - demos!
We are happy to announce that the Gallery part of our website is now available for viewing! You can see six different algorithms at work.
24-May-2026
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Schmidt Sciences and partners fund safety research for multi-agent worlds
This funding call frames AI safety as a population-level problem involving collusion, cascading failures, emergent communication, and collective capabilities.
26-Jun-2026
Read morePalladyne AI wins U.S. Army contracts for operational SwarmOS validation
Palladyne AI says its SwarmOS software will be tested with U.S. Army warfighters to coordinate heterogeneous unmanned systems without relying on centralized infrastructure.
25-Jun-2026
Read moreINT21 launches self-improving agent swarms for GPU infrastructure
INT21’s PTX Kernel Factory uses specialized agent swarms to generate, test, benchmark, and improve low-level GPU kernels across generations.
25-Jun-2026
Read moreGoogle DeepMind publishes a control roadmap for increasingly autonomous AI agents
Google DeepMind’s roadmap treats future AI agents as operational actors that may need containment, monitoring, and layered controls, borrowing ideas from cybersecurity and safety engineering.
23-Jun-2026
Read moreDARPA Launches DICE Program for Decentralized AI Through Controlled Emergence
DARPA’s new DICE (Decentralized Artificial Intelligence through Controlled Emergence) program may be one of the strongest real-world signals yet that biological coordination principles are moving into operational AI architectures. The program seeks methods that allow large populations of heterogeneous AI agents to coordinate through local interactions while remaining controllable, resilient, and adaptive.
17-Jun-2026
Read moreAgentSociety Applies Liquid Democracy to Autonomous Agent Cooperation
AgentSociety proposes a framework where autonomous agents cooperate through mechanisms borrowed from social choice theory and liquid democracy. Agents delegate authority, route information, and form consensus-based decision paths using only local knowledge and incentive-compatible behaviour.
17-Jun-2026
Read moreCall for Papers - Distributed AI Coordination and Agent Societies
29-Nov-2026 Hong Kong - DAI 2026 places coordination, markets, agent infrastructure, and societies of autonomous agents at the center of distributed AI research. The event reflects growing industry interest in systems where intelligence emerges from cooperation among many specialized agents rather than from a single monolithic model.
14-Jun-2026
Read moreThe Agentic Age - Intelligence, Causality, & Risk
“Agentic AIs are a feral technology… they are projected to become a wild, self-sustaining, population.”
13-Jun-2026
Read moreThe Santa Fe Institute - World leading research centre in complex systems
If there is a single institution that has consistently explored how intelligence emerges from interactions rather than instruction, it is the Santa Fe Institute.
13-Jun-2026
Read moreDISCOLI'26 – Distributed Collective Intelligence Workshop
A June workshop dedicated specifically to distributed collective intelligence, including bio-inspired approaches, decentralized trust systems, artificial life concepts, and collective behavior in smart systems.
13-Jun-2026
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