AI concept
The water jug problem is a state-space search problem where an agent must measure a target amount using jugs of fixed capacities.
Computer Science AI Problem Lab
Water Jug Problem Interactive Visualizer
Solve the classic water jug problem by pouring, filling, and emptying jugs while tracing each state toward the target amount. Learn the model, state transitions, search behavior, and practical AI reasoning flow through an OpenLabs interactive simulator.
AI Visualizer
State transitions and goal search
Jug State
3L
5L
Step 1
Fill jug
Step 2
Pour between jugs
Step 3
Empty jug
Step 4
Test target
Reasoning flow
The search explores states created by fill, empty, and pour actions until a state satisfies the target measurement goal.
Model focus
State transitions and goal search
Visualization
Trace each state, decision, or rule step through an interactive learning flow.
Learn by simulating
Understand Water Jug with step-by-step AI reasoning
The search explores states created by fill, empty, and pour actions until a state satisfies the target measurement goal. The lab turns abstract AI problem solving into a visible sequence of states, decisions, and results.
Understand state representation for classic AI search.
Visualize fill, empty, and pour operations.
Trace solution paths through state transitions.
Connect water jug search with BFS, DFS, and goal testing.
Where this AI concept is used
- AI search fundamentals
- State-space modeling
- Puzzle solving
- Planning and transition systems
How the interactive lab works
Open the Water Jug lab, adjust the problem inputs, and follow how the visualizer updates each state or inference step. Use it to compare AI theory with observable behavior.
Curriculum Continuity
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Water Jug FAQs
What is the water jug problem?
It is an AI search problem where fixed-size jugs are used to measure a target amount of water.
Which actions are used in the water jug problem?
Common actions include filling a jug, emptying a jug, and pouring water from one jug to another.
What AI concept does it teach?
It teaches state-space search, state transitions, action modeling, and goal testing.
Ready to explore Water Jug?
Launch the visualizer and turn AI search, reasoning, and planning into a clear hands-on learning path.