Two ways through

There are many concepts here. Gordon Pask observed that learners tend toward one of two styles — serialists, who build understanding step by step along a line, and holists, who need the whole shape before the parts. Each style wants a different route through the same mesh.

The serialist path

One concept at a time, each resting on the ones before it. Follow the numbers; nothing appears until what it depends on has been met. This is the safest single-track route and matches the order of the knowledge graph's Serialist order toggle.

1. Cybernetics · FoundationsThe whole that names the field — control and communication unified.
2. Control · FoundationsOne of the two subjects; read first in the body, then in machines.
3. Communication · FoundationsThe second subject; the flow of signals between parts.
4. Feedback · FoundationsThe mechanism that joins control and communication.
5. Stability / Ultra-stability · FoundationsWhat feedback produces: return to equilibrium, and ultra-stability.
6. Homeostasis · FoundationsStability realised and actively maintained in a living system.
7. Adaptation / Learning · FoundationsStability sought under change becomes learning.
8. Self-adapting systems · FoundationsThe class of systems that adapt — the master concept.
9. Nervous system / brain · Biological substrateThe paradigm natural example of regulation.
10. Neuron (nerve cell) · Biological substrateIts unit; the building-brick of every model.
11. Reflex / conditioned reflex · Biological substrateThe neuron in action; the simplest learned response.
12. Inhibition · Biological substrateThe holding-back of a reflex — Young's key to flexibility.
13. Intelligence · Biological substrateWhere the biological chain culminates: mind as inhibition / adaptation.
14. Memory / forgetting · Biological substrateStorage and, crucially, forgetting in the nervous system.
15. Logic / Boolean algebra · Formal / computationalThe formal language for describing automata and nets.
16. Automata theory · Formal / computationalAbstract machines specified by logic.
17. Turing machine · Formal / computationalThe automaton that formalises computation.
18. Digital computer · Formal / computationalIts buildable, universal realisation.
19. Information theory · Formal / computationalThe measure of the communication those machines carry.
20. Neural nets / neuron assemblies · Modelling and machinesNeurons plus logic — the bridge from biology to computation.
21. Modelling · Modelling and machinesHow all of this is put together: hardware/software, growth/pre-wired.
22. Simulation | Synthesis · Modelling and machinesThe two aims of modelling — copy, or achieve by any means.
23. Pattern recognition · Modelling and machinesThe basic problem a sensing model must solve.
24. Game-playing / heuristics · Modelling and machinesHeuristic problem-solving — an early road to intelligence.
25. Artificial intelligence · ApplicationsThe synthesising ambition: build intelligence.
26. Management cybernetics · ApplicationsFeedback and computing applied to organisations.
27. Educational cybernetics · ApplicationsFeedback applied to teaching (P.I. / C.A.I.).
28. Biocybernetics · ApplicationsTurning the models back onto biology.

The holist path

Don't start at the beginning of a line — start with the whole. Read the five clusters below as gestalts, each in a single sweep, so the overall architecture is in view; then drop into any concept page and the detail will have somewhere to attach. Move between clusters along the bridges (for example neuron → neural nets links biology to computation, and self-adapting systems → modelling links foundations to machines).

Open the graph and explore freely →