Three Steps
Step 1 — Theory
- Conducting fundamental research on the formalization of stage and stage transition dynamics in detail
- Mathematically discriminating the processes of learning and development, which are fundamentally different, but intrinsically correlated to a point where no clear discrimination has been achieved so far.
Step 2 — Validation
- Using the previous formalization to the construction of self-organizing algorithms that follow the same laws of stage and stage transition
- Testing the validity of such processes in the domain of cognitive neuroscience to ensure that ethical and human-like machines are being addressed.
- Making sure that the exponential growth in complexity from one stage to another does not encompass a likewise exponential growth in computational resources.
Step 3 — Application
- Applying the rationale of self-organizing algorithms to the field of robotics. Test efficacy and efficiency in learning and development.
Where we are
- We are intertwining between step 1 and 2. Take a look at our developments!