Link State

Link state routing is a class of routing algorithms in which each node constructs a complete map of the network topology by flooding the network with information about its local connections, then independently computes the shortest paths to all destinations using a centralized algorithm (typically Dijkstra's) on its local copy of the map. The approach is more computationally intensive at each node than distance-vector methods, but it converges faster and avoids the count-to-infinity problem because every node has the same topological information. The philosophical significance of link-state routing is that it demonstrates how global knowledge can be constructed from local broadcasts — a distributed solution to the problem of knowledge that has direct analogues in neural networks, where global activation patterns emerge from local synaptic updates, and in social physics, where market prices emerge from local transactions aggregated into a global signal.