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Conditions for Social Trajectory Collapse: Agent-Based Simulation of Trajectory Distributions
US & West ·
Agent-based simulation is used to study trajectory diversity, the variety of people's recurring activity orientations toward neighborhoods, urban centers and wider networks. The model maps 2010 population shares to 2026 distributions for China, Russia, Japan, the UK and the US and simulates change to 2036, finding a 52.6-79.0% decline in trajectory diversity. The largest increases in the most common trajectory share occur in Russia and Japan; costs rise throughout, while welfare falls in the Russian and Japanese cases and rises in the other three.
Why it matters
Shows how agent-based distribution models help assess long-term settlement and territorial system scenarios.
The paper introduces a trading strategy for battery storage on the continuous intraday market in which forecast-driven round-trip trading takes priority and the battery provides a second route to close positions that would otherwise be closed at a distressed price. The agent opens positions using price quantile forecasts and closes them closer to delivery, replacing the myopic rolling intrinsic approach.
APOD is a language-model agent that iteratively reasons over biological knowledge and fit diagnostics in an open-ended search space to discover a population digital twin, a shared ODE system with between-subject variability. On synthetic pharmacokinetic and tumor-dynamics benchmarks it recovered ground-truth structures in 94-100% of runs, 12-fold faster in median than a library-based search.
The report takes a first step toward a systematic, traceable mapping between RPO mission requirements and model predictive control design choices. It uses the ADRIOS / ClearSpace-1 active debris removal mission as a case study across three sequential operations, each with its own sample time, constraint set and cost structure.
