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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The 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
Read moreAI and Multi-scale Human Intelligence
A notable June event from the Santa Fe Institute, co-sponsored by OpenAI and Google DeepMind, focused on intelligence across multiple organisational and social scales rather than intelligence as an individual phenomenon.
13-Jun-2026
Read moreThe Internet of Agentic AI - Collective Intelligence at Scale
The paper proposes an “Internet of Agentic AI” in which autonomous agents discover each other, negotiate responsibilities, exchange context, coordinate workflows, and operate across organizational boundaries. The framing draws heavily from distributed systems, collective intelligence, and decentralized coordination.
12-Jun-2026
Read moreAgentic 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 more‘They surprise me every time’ - bees can use tools to solve problems, study finds
Bumblebees can use tools to solve a problem, according to experiments that demonstrate their remarkably advanced cognitive abilities.
07-Jun-2026
Read moreSwarm Intelligence Market Forecast Signals Growing Commercial Interest
A recent market analysis projects rapid growth in swarm-intelligence technologies over the coming decade, driven by decentralized coordination requirements across IoT, autonomous systems, and distributed decision-making applications.
07-Jun-2026
Read moreSQUID-COMM proposes colossal-squid-inspired distributed communications framework
SQUID-COMM introduces a communications architecture inspired by signalling, coordination, and self-organization mechanisms observed in colossal squid. The framework includes adaptive signalling, decentralized routing, synchronization, and congestion-management concepts.
06-Jun-2026
Read moreFire-ant collective ripples linked to neighbour alignment dynamics
Researchers studying fire-ant collectives found evidence that large-scale ripples and movement waves emerge from simple local alignment between neighbouring ants. No central coordination is required for the collective patterns to appear.
31-May-2026
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