A multi-agent brain architecture where no single model holds control. Intelligence emerges from the interaction of specialised modules — inspired by ecological predator-prey dynamics.
Every major AI system in deployment today is architecturally monolithic. A single model responsible for perception, reasoning, planning, and action. This creates a brittle architecture: one point of failure, one locus of control, one surface for catastrophic error.
More fundamentally, monolithic architectures produce behaviour that is statistically averaged rather than genuinely reasoned. A system with one decision-maker cannot check itself, disagree with itself, or develop the internal tension that produces careful, considered, adaptive behaviour.
Biological minds are not single models. They are ecosystems of competing and cooperating processes — each specialised, each capable of overriding others. The result is genuinely autonomous behaviour that no current AI architecture replicates.
In a healthy ecosystem, no single organism dominates unchecked. Every apex predator is simultaneously prey to something. This principle is the key to resilient intelligence.
Applied to AI architecture, the predator-prey principle produces a system of specialised modules where each module's output is the input — and the constraint — on at least one other module. No single module can dominate the decision process. Pathological outputs are naturally suppressed by the response of others.
Each module has a defined role, defined inputs and outputs, and defined constraints from other modules.