idle

The world

What's actually there. Visited cells revealed unless teacher view is on.

Agent's knowledge map

What the agent has inferred from percepts so far.

Icon key

  • Agent (facing direction)
  • Pit
  • Live Wumpus
  • Defeated Wumpus
  • Gold
  • Glitter: gold in this square
  • Breeze: pit next door
  • Stench: live Wumpus next door

Knowledge-map colors

Inferred safe
Inferred deadly
Possibly deadly
Unknown
Score
0
Step
0
Carrying
-
Arrows
1
Status
alive
Score breakdown: (no actions yet)

Reasoning log

🔎 Why this cell?: click the knowledge map

Hover over a cell in the knowledge map (right). The agent's inference chain for that cell appears here.

Click any cell on the knowledge map to see the inference chain.
🎯 Try these scenarios first

Pick a scenario, predict what should happen, then apply it and compare the result with your prediction.

Scenario 1: Pure logic moves only into proven-safe squares

Core question: What can a cautious agent do when the evidence does not prove a safe next move?

Run and watch: Use the pure-logic strategy on a fresh hidden world and step until the agent stops or exits.

Predict first: Predict whether stopping means every remaining square is dangerous.

Explain afterward: Explain the difference between lacking a proof of safety and proving danger.

Scenario 2: The hybrid agent can shoot, gamble, or leave

Core question: When should an agent act under uncertainty instead of waiting for certainty?

Run and watch: Switch to the hybrid strategy and compare its actions with pure logic on the same type of world.

Predict first: Predict which new action will appear when the safe frontier is empty.

Explain afterward: Explain what extra assumption or risk rule allows the hybrid agent to continue.

Scenario 3: Probability ranks unresolved risks

Core question: How can an agent choose among several squares that are all uncertain?

Run and watch: Use the probabilistic strategy and inspect the estimated pit probability for frontier cells.

Predict first: Predict whether the agent should choose the most familiar square or the lowest estimated risk.

Explain afterward: Explain how ranking uncertainty differs from proving a square safe.

Scenario 4: Reveal the world and compare truth with belief

Core question: Why can the agent’s knowledge differ from the hidden ground truth?

Run and watch: Turn on the teacher view, step slowly, and compare hidden hazards with the knowledge map.

Predict first: Predict one fact that is true but the agent cannot yet know.

Explain afterward: Use the reasoning log to identify exactly which percept or rule is missing.

Scenario 5: Unknown does not mean safe

Core question: What evidence is required before a square can be labeled safe?

Run and watch: Hide the world, use pure logic, and stop when the agent reaches an unresolved frontier.

Predict first: Predict which neighboring percept would be needed to rule out each hazard.

Explain afterward: Explain why absence of knowledge is not evidence of absence.

✨ Featured comparison
Featured comparison

Add percepts until the agent knows a square is safe, then contrast that with a square it merely suspects. Logic distinguishes certainty from risk.

Step through a board and separate guaranteed-safe moves from probability-shaped guesses.

🧭 Visual explanation

Live state to watch 
No state captured yet. Run or adjust the applet first.
Misread to avoid

📚 Lesson tour (5 steps)
Step 1/5: -

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📝 Worksheet (3 questions)

Q1. "Pure logic" strategy. Generate several new worlds and let the agent run. Does the pure-logic agent ALWAYS retrieve the gold?

Q2. Switch to "AIMA-inspired hybrid" strategy. Compared to pure logic across many runs, the score variance (some win big, some die) is:

Q3. What is the per-step score penalty in the AIMA-style scoring (just the magnitude, no sign)?

🧪 Quick Assign · QA-WUMPUS-01 · 10–15 min
QA-WUMPUS-01 · Level 1 · 10–15 min
Safe, risky, or unknown?

Run an agent strategy, inspect the world and knowledge map, then explain how percepts support safe action.

State snapshot appears here.
♿ Text and keyboard support

Text and keyboard support

Keyboard path

  • Use Tab and Shift+Tab to move through controls.
  • Use Enter or Space on buttons, and arrow keys on sliders or select controls.
  • The visual region is focusable and described by the state summary below.

Text state summary

Reduced motion and non-visual support

Reduced-motion settings are honored where possible. The current state is also available as text, so the main result does not depend only on color, animation, or spatial position.

Accessibility note: this layer gives a text equivalent for the applet state. It does not replace a full human screen-reader audit.

↓ Read the explanation