Discrete Time Step Simulation Execution

via “discrete-time step simulation execution”

A multi-agent environment simulation library

Unique: Implements a pluggable scheduler architecture that allows custom step execution strategies (e.g., priority-based ordering, spatial partitioning for efficient collision detection) rather than forcing a single execution model

vs others: Cleaner abstraction than raw event-loop simulation because it provides explicit perception-decision-action phases, making agent behavior more interpretable than continuous-time physics engines