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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.
arXiv:2610.28907v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers.
arXiv:2604.04455v3 Announce Type: replace Abstract: Nonlinear underactuated systems such as two-wheeled inverted pendulums (TWIPs) exhibit a limited region of attraction (RoA), which defines the set of initial conditions from which the closed-loop system converges to the equilibrium.
The same TAdviser item: the generative AI market reached 58 billion rubles in 2025, with 44 billion corporate. Measurable results are becoming the key criterion, while most projects remain pilots due to integration, data quality, security and cost issues.