A city planner is tasked with reducing traffic congestion. The 'given state' is daily gridlock, and the 'desired goal state' is a 20% reduction in average commute times within two years. The planner must overcome 'barriers' such as budget limitations, public opposition to new construction, and unpredictable changes in commuter behavior. The solution requires a 'series of multi-step activities', including data analysis, simulation modeling, public consultations, and a phased implementation of ada

Applying the Framework of Complex Problem-Solving