Simulation Time Stepping And Action Scheduling

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

via “simulation time management and agent synchronization”

Inspired by paper ["Generative Agents: Interactive Simulacra of Human Behavior"](https://arxiv.org/abs/2304.03442)

Unique: Implements a shared simulation clock with deterministic event ordering that ensures reproducible multi-agent simulations, rather than allowing agents to operate asynchronously

vs others: Enables reproducible and debuggable simulations because all events execute in a deterministic order

via “simulation-time-stepping-and-action-scheduling”

A paper simulating interactions between tens of agents

Unique: Uses estimated action durations from language model planning to create realistic temporal dynamics where agents are occupied for varying periods, enabling natural asynchronous interactions rather than synchronous turn-based updates

vs others: More realistic than synchronous turn-based systems (which treat all agents equally) and simpler than continuous-time simulation (which requires differential equations); enables believable daily routines with minimal explicit scheduling