10.6 Conclusion 183 Correspondence Principle tells us something about what this "tuning" should involve — namely, making a system possessing mind-state sequences that correspond meaningfully to world-state sequences. CogPrime’s overall design and particular cognitive processes are reasonably well interpreted as an attempt to achieve this for everyday human goals and environments. One way of extending these theoretical ideas into a more rigorous theory is explored in Ap- pendix ??. The key ideas involved there are: modeling multiple memory types as mathematical categories (with functors mapping between them), modeling memory items as probability dis- tributions, and measuring distance between memory items using two metrics, one based on algorithmic information theory and one on classical information geometry. Building on these ideas, core hypotheses are then presented: ® asyntax-semantics correlation principle, stating that in a successful AGI system, these two metrics should be roughly correlated ® a cognitive geometrodynamics principle, stating that on the whole intelligent minds tend to follow geodesics (shortest paths) in mindspace, according to various appropriately defined metrics (e.g. the metric measuring the distance between two entities in terms of the length and/or runtime of the shortest programs computing one from the other). ® acognitive synergy principle, stating that shorter paths may be found through the com- posite mindspace formed by considering multiple memory types together, than by following the geodesics in the mindspaces corresponding to individual memory types. The material is relegated to an appendix because it is so speculative, and it’s not yet clear whether it will really be useful in advancing or interpreting CogPrime or other AGI systems (unlike the material from the present chapter, which has at least been useful in interpreting and tweaking the CogPrime design, even though it can’t be claimed that CogPrime was derived directly from