Joeven — Learn Autonomous AI Agents

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goal = "have_umbrella_if_rain"

world = {"raining": True, "has_umbrella": False}

def observe(world):
    # Sensors: copy what the agent is allowed to see.
    return dict(world)

def act(world, action):
    # Actuators: only this verb can change the world.
    if action == "take_umbrella":
        world["has_umbrella"] = True
    return world

def policy(obs, goal):
    # The brain. Later this can call an LLM. Today it is an if.
    if goal == "have_umbrella_if_rain":
        if obs["raining"] and not obs["has_umbrella"]:
            return "take_umbrella"
    return "stop"

def goal_met(world, goal):
    if goal != "have_umbrella_if_rain":
        return False
    if world["raining"]:
        return world["has_umbrella"] is True
    return True

obs = observe(world)
steps = 0
while steps < 5:
    action = policy(obs, goal)
    print("obs:", obs, "-> action:", action)
    if action == "stop":
        break
    world = act(world, action)
    obs = observe(world)
    steps = steps + 1

print("done:", world)
print("steps used:", steps)
print("goal met:", goal_met(world, goal))

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