Key papers

• Same physical state, different collective dynamics: state encodings select synchronization outcomes in language-model agents (2026)
  Takahiro Ezaki et al.
  5.54
• Game-Theoretic Inverse Reinforcement Learning for Modeling Competitive Human Driving: A Cut-in Prediction Study (2026)
  Yu Song
  4.81
• Hyperbolic Graph Embedders for Link Prediction and Topology Reconstruction (2026)
  Robert Jankowski et al.
  4.81
• Interaction Creates Dynamical AI Behavior Absent in Isolation (2026)
  Bella Xinrui Li et al.
  4.81
• Cut-In Gap Acceptance Toward Autonomous vs. Human-Driven Vehicles: Evidence from the Waymo Open Motion Dataset (2026)
  Abdulaziz Alhuraish et al.
  1.83
• BEHAVE: A Hybrid AI Framework for Real-Time Modeling of Collective Human Dynamics (2026)
  Helene Malyutina
  1.83
• On Common Misconceptions in Classical Vehicle Dynamics (2026)
  Massimo Guiggiani
  1.78
• Social physics in the age of artificial intelligence (2026)
  The Anh Han et al.
  1.72
• Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems (2026)
  Sheng Ran
  1.67
• X-SYCON: Xylem-Inspired Passive Gradient Control for Communication-Free Swarm Response in Dynamic Disaster Environments (2025)
  Arthur Ji Sung Baek et al.
  1.56
• A Criminology of Machines (2025)
  Gian Maria Campedelli
  1.50
• Unbeatable imitation of a friend (2025)
  Masahiko Ueda
  1.28
• A Survey of Physics-Informed AI for Complex Urban Systems (2025)
  En Xu et al.
  1.22
• Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models (2025)
  Wen-Long Jin
  1.17
• Provably safe and human-like car-following behaviors: Part 2. A parsimonious multi-phase model with projected braking (2025)
  Wen-Long Jin
  1.17
• Recurrent Averaging Inequalities in Multi-Agent Control and Social Dynamics Modeling (2019)
  Anton V. Proskurnikov et al.
  —
• Development of swarm behavior in artificial learning agents that adapt to different foraging environments (2020)
  Andrea L\'opez-Incera et al.
  —
• A Study of the Minimum Safe Distance between Human Driven and Driverless Cars Using Safe Distance Model (2020)
  Tesfaye Hailemariam Yimer et al.
  —
• Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control (2021)
  Caspar A. S. Pouw et al.
  —
• On the Interplay between Self-Driving Cars and Public Transportation (2021)
  Nicolas Lanzetti et al.
  —
• Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability (2021)
  Wolfram Barfuss and Richard P. Mann
  —
• Sustainably Grown: The Underdog Robots of the Future (2022)
  Stoyan K. Smoukov
  —
• Emergent Strategies for Shepherding a Flock (2022)
  Aditya Ranganathan et al.
  —
• Studying speed-accuracy trade-offs in best-of-n collective decision-making through heterogeneous mean-field modeling (2023)
  Andreagiovanni Reina and Thierry Njougouo and Elio Tuci and Timoteo Carletti
  —
• Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics (2023)
  Hisato Komatsu
  —
• Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence (2024)
  Long Wang et al.
  —
• Evidence and quantification of cooperation of driving agents in mixed traffic flow (2024)
  Di Chen et al.
  —