Artificial Computation and the Path to True AGI:Problem Statement and Open Challenges

We present a conceptual framework for \textit{Artificial Computation} (AC) as a foundation toward the development of true Artificial General Intelligence (AGI). We analyze the theoretical structure of AC in progressively higher-dimensional state spaces, from 2D to 11D, and highlight the key challenges beyond raw computational resources. This paper serves as a problem-oriented discussion to identify the open questions in control, stability, and environmental adaptation that must be addressed for AC to evolve into fully general and robust artificial intelligence.