One actor's best move depends on others.
Independent optimization can fail when actions must fit together.
Side 127
Coordination
How multiple actors align actions when outcomes depend on what others do, know and expect—often without a single controller.
actors→expectations→alignment→execution→adaptation
04lenses
16working concepts
V0content
SS-1.0standard
Coordination begins when one action depends on another.
The structure of dependence determines whether actors need timing, sequencing, shared standards or mutual prediction.
Several workable equilibria may exist.
The challenge is often selecting the same solution rather than finding any feasible solution.
Correct actions can still fail when mistimed.
Synchronization matters in traffic, production, communication and collective response.
Order can determine feasibility.
Some tasks require dependencies to be completed before downstream work can begin.
Coordination mechanisms reduce uncertainty about others.
Rules, prices, hierarchies, routines and communication solve different alignment problems.
Repeated practice stabilizes expectations.
A convention can persist because everyone expects others to keep using it.
Compatibility narrows the space of possible actions.
Shared formats and interfaces let decentralized actors coordinate with less communication.
Authority assigns roles and resolves conflict.
Hierarchy can accelerate alignment while concentrating information and decision rights.
Prices coordinate decentralized choices.
Price signals compress dispersed information but do not solve every externality or timing problem.
Coordination depends on what actors know about one another.
Shared information is not enough when actors are unsure whether others also received or understood it.
Everyone knows and knows that others know.
Some coordination problems require higher-order expectations, not merely shared facts.
Actions can communicate intended behavior.
Signals work when observers understand both the message and incentives behind it.
Observable state reduces uncertainty.
Dashboards, schedules and public commitments can create a shared operating picture.
Actors need to detect misalignment quickly.
Fast feedback can correct local deviation before it cascades through a larger system.
Coordination failures often look like individual mistakes.
The deeper cause may be incompatible incentives, ambiguous roles or missing shared state.
Actors do not know who owns which decision.
Duplicated work and gaps can coexist in the same system.
Each unit improves its own metric.
System performance can worsen when local objectives conflict.
Actors predict different behaviors.
Even reasonable actions can collide when assumptions are inconsistent.
Recoordination needs a focal point.
Clear status, authority and next actions help a system converge after disruption.
Coordination is not the same as cooperation. Actors can share a coordination problem even when their interests differ; the key issue is aligning interdependent actions around compatible expectations.