Lowering the AI cognitive threshold with sandbox interactions
Aivilization enables AI science education through three core mechanisms:
- Visual Observation SystemReal-time display of the decision-making process (e.g., deal selection/path planning) of the intelligent body, and users can view the "Thinking Log" through the information panel to intuitively understand the AI's decision-making logic.
- Gamification Engagement Design: Translate abstract technical concepts into tangible operations by creating/guiding the basic interactions of intelligences (naming/setting goals/adjusting personality parameters)
- Closed-loop feedback mechanism: When the user modifies the behavior of the intelligences or evaluates the results of a task, the system compares the differences in human-machine decision-making and uses the point of difference as a teaching case for the principles of AI
Suggestions: 1) Try the "Personalized Parameter Adjustment" function as a priority, and observe behavioral changes by changing parameters such as "Risk Appetite Degree". 2) Participate in the platform's regularly heldSocial experimentation activities(e.g., economic crisis simulations), such concentrated events can amplify AI behavioral traits
This answer comes from the articleAivilization: a social simulation sandbox exploring human-AI coexistenceThe
May not be reproduced without permission:AI productivity tools " How can Aivilization be used to raise the level of public understanding of AI technology?
