Current AGI tests and architectures often emphasize reasoning and pattern recognition but overlook the critical aspect of reflective thinking. This post
proposes a potential framework for AGI that mimics human cognition by integrating fast, intuitive responses with a slower, reflective process. I would love to hear feedback or suggestions from the community on this idea, especially regarding its feasibility and practical challenges in implementation.
The black line is the stringing process of our existing AI. The blue line is the intuitive rules we set for AGI, including but not limited to putting out fires and saving lives. Examples include falling objects from tall buildings. Under the influence of intuitive rules, AGI can have human-like intuitive reactions. Under the influence of the visual measurement of the acceleration of the object, it predicts that the falling object will lead to the death of the passerby, and thus goes to save the passerby.
Intuitive rules are built into the front end of the operational process to ensure that they can be mobilized immediately in case of emergency. For non-emergency situations the intuition rules can be skipped and the process can continue.
The red line is the reflection branch, which does not need to have more branches in a general task situation. It exists to allow the AGI to input the results into the reflection branch while finalizing the output, and to perform reflection operations in the reflection library in conjunction with the conclusions obtained in reality (after the output).
The Reflection Library allows you to store what you’ve reflected on, avoiding multiple reflections on the same issues you’ve faced. For example, washing apples. Why do you wash apples? Because after washing them you can eat them healthier. Reflections such as these do not need to be reproduced again after they have been experienced once. Washing apples is recorded in the Reflection Library, and the Reflection Library has content that does not require a second reflection. Unless one day, after outputting the results, the conclusions drawn from reality change.
It may be that in a situation where the AGI decides to wash an apple and the human consumes the apple resulting in illness or diarrhea, then the content of the reflection Library can be adapted to change the washing of the apple in water to washing it in salt water.