Autonomous Testing of Super Mario Bros. Using Behavior Models and State Space Exploration
By
Naulius
Pulled from the oven just right. Trustworthy, fact-dense, deeply satisfying.
Summary
This article introduces an autonomous testing approach for Super Mario Bros. using behavior models and evolutionary state space exploration techniques. It explains how autonomous systems can systematically explore millions of game states to discover edge cases that human testers would miss. The article is part one of a two-part series that will implement the autonomous testing approach presented by Antithesis, where the system autonomously plays and beats the game, with part two focusing on plugging in the behavior model developed in part one.
Key quotes
· 3 pulledAutonomous testing is one of the most powerful approaches for exploring vast state spaces in complex systems.
Rather than manually writing test cases for every scenario, autonomous systems can systematically explore millions of states, discovering edge cases that human testers would never think to check.
In this two-part follow-up, we'll continue the Super Mario Bros. testing series by implementing the autonomous testing approach presented by Antithesis, where they autonomously play and beat the game.
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