Goal
The result the system is meant to reach or maintain.
Topic Guide
An autonomous system selects actions from its inputs, rules, current state, and goal.
This later topic brings together sensing, conditions, loops, state, feedback, and testing. Students examine exactly which decisions the machine makes and which remain with its designer or user.
A robot vacuum chooses movements from sensor readings, but people still set its goal, rules, working area, and stop controls. Its autonomy is real and quite narrow.
The result the system is meant to reach or maintain.
Rules that connect observations with actions.
Information kept from one decision to the next.
The choices and limits set by a person.
Choose a turn after an obstacle reading.
Select an action from the player's distance and current game state.
Return to a safe mode after an error.
End the action when a boundary or goal is reached.
Program connections
Students write commands, wire simple circuits, read sensors, and trace physical cause and effect through the Sense–Decide–Act loop.
A possible later program for testing patterns, predictions, prompts, mistakes, and the limits of AI tools.
A fixed route never changes when new information arrives.
The system continues after its goal or safe boundary has been reached.
A successful rule is described as if the machine knows why it works.
The system fails as soon as an obstacle moves or a reading changes.
Design a repeating patrol that notices an obstacle, tries a response, and checks whether the response worked.
See how it worksA possible investigation of pattern-based guesses, confidence, errors, and fair testing.
See the later idea