PAI.md

Personal AI Infrastructure -- Simulation Module

Version: v1.2.3 | Status: Active | Last Updated: March 2026

Overview

The Simulation module provides a step-based simulation engine for agent-based modeling and system dynamics. This is a Core Layer module.

PAI Capabilities

Simulation Execution

Run configurable simulations with structured result collection:

from codomyrmex.simulation import Simulator, SimulationConfig

config = SimulationConfig(
    name="pai_experiment",
    max_steps=500,
    seed=42,
    params={"agent_count": 10, "environment_size": 100}
)
sim = Simulator(config)
results = sim.run()
# results: {"steps_completed": 500, "config": "pai_experiment", "status": "completed"}

Step-by-Step Control

For fine-grained execution where PAI agents need per-step observation:

sim = Simulator(SimulationConfig(max_steps=100))
for i in range(100):
    sim.step()
results = sim.get_results()

Key Exports

Export	Type	Purpose
Simulator	Class	Core simulation engine with run/step/results lifecycle
SimulationConfig	Dataclass	Configuration: name, max_steps, seed, params

PAI Algorithm Phase Mapping

Phase	Simulation Module Contribution
EXECUTE	Simulator.run() and Simulator.step() execute simulation workloads
OBSERVE	Simulator.get_results() provides structured output for observation
VERIFY	Result dictionaries enable post-execution verification of simulation outcomes

Architecture Role

Core Layer -- Part of the codomyrmex layered architecture. Depends on logging_monitoring (Foundation Layer) for structured logging.

Navigation

• Self: PAI.md
• Parent: ../PAI.md -- Source-level PAI module map
• Root Bridge: ../../../PAI.md -- Authoritative PAI system bridge doc
• Siblings: README.md | AGENTS.md | SPEC.md | API_SPECIFICATION.md