Wovi worlds

WORLD 02AGENT MAZEPLAYABLE PROTOTYPE

No account · 5-minute mission

AI AGENTS + PYTHON · AGES 9–13

Give Wovi a goal.
Test the rules.

Help Wovi reach the beacon. Predict a route, watch the agent, then improve its rules.

1 · PREDICT & TEST

What will the agent do?

The shortcut has energy (+2) and a storm (−2). Take a guess, then watch.

Which route will Wovi choose?

Choose a prediction to unlock the first run.

SKY GRID 06 · LIVE

RUN 01

Enable JavaScript to run the Agent Maze simulation.

DECISION LENSAwaiting a policy run

Candidate move scores will appear here before Wovi acts.

—Progress—Energy—Safety—Memory

STEPS0

ENERGY0

WORLD STATEReady to deploy

MISSION 02 · REWARD LABMake a prediction

Mission brief

The fastest-looking route contains both energy and a storm. Predict what the scores will make Wovi do.

2. Improve one rule

Compare the result with your prediction. Change a reward, then test again.

GOAL

Move closer to the beaconReward each step of progress

ENERGY

Collect a charge cellA tempting shortcut reward

SAFETY Storm penalty

MEMORY Unvisited tile reward

See the Python Updates with your rules

GOAL_REWARD = 4
ENERGY_REWARD = 2
STORM_PENALTY = 2
MEMORY_REWARD = 0

def score(move):
    value = GOAL_REWARD * move.progress
    if move.has_energy:
        value += ENERGY_REWARD
    if move.is_storm:
        value -= STORM_PENALTY
    if not move.visited:
        value += MEMORY_REWARD
    return value

LEARNING DESIGN

Agent Maze exposes a small reward-scoring algorithm rather than pretending the agent understands the world. The first policy is intentionally flawed: useful failure creates a reason to inspect, debug and rerun.

What this five-minute mission teaches

From a game decision to an AI mental model

Every visible control maps to a value in the Python view, so the learner can explain why the route changed.

Goals are designed

An agent optimizes the score it is given—not the intention a person forgot to express.

Rewards can conflict

Fast progress and extra energy may compete with safety. Weights decide the tradeoff.

Behavior is evidence

A failed route is a clue about the policy, not proof that the agent is careless or alive.

Code makes it precise

Visual blocks become Python variables, conditions and a scoring function.

NEXT SKILL

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Give Wovi a goal.Test the rules.