Architecture of Intelligence
Stephen Feber FRSA · 2026 · Ten interactive graphics for the web publication and RSA lecture. Intelligence is an evolved capacity for ecological coupling, not a scalar property.
Theoretical framework
1
The Intelligence Spectrum
Five Thresholds as expanding ecological range. Fourteen-dimensional profiles of HI, AI, and AuHI. The non-scalar argument visualised.
2
Frame of Intention: Reaching for Coffee
The four-phase coffee cup reach as multi-system active inference. Eleven body systems, precision-weighting, micro threshold crossings within a single intelligent act.
The network problem
3
Network States
3D interactive network. Three clusters with adjustable flow. Cross-cluster flow is the network condition.
4
The Lombard Effect
Acoustic analogy for DVAP. The feedback loop of diminishing intelligibility. Why RSA events feel like networking but produce no network.
5
Density–Value–Accessibility Paradox
As connection density increases, theoretical value rises but accessibility falls. The peak of usable value and the collapse beyond it.
The hybrid architecture
6
Four Network Conditions
Two failure modes (connection without signal, semantic overload) and the architecture that resolves them. Mesh, profiles, heuristic enquiry, system learns.
7
Fellow Dashboard
Five heuristic sliders shaping GNN recommendations in real time. The interface between human intention and machine intelligence.
8
Cognitive Signature
Gardner's eight intelligences as a multimodal profile. Fellow A vs Fellow B with computed semantic overlap. Complementarity as important as similarity.
9
Cluster Growth
Adding a Fellow does not add to the cluster. It reforms it. Watch the network flex and settle into a new equilibrium.
10
Network Emergence
Force-directed graph with Fellow nodes, prune slider, BFS path finder, and topic labels. The Fellowship as a living, navigable network.