New Ideas for Brain Modelling 6
This work addresses brain modelling for cognitive science, but it is incremental as it builds on a prior paper series and lacks concrete results.
The paper refactors a 3-level cognitive model to make it modular and re-designs the top-level into a network structure with a light scheduler, challenging conventional thinking on the hierarchical nature of the cortex brain region, though it remains a framework without real intelligence.
This paper describes implementation details for a 3-level cognitive model, described in the paper series. The whole architecture is now modular, with different levels using different types of information. The ensemble-hierarchy relationship is maintained and placed in the bottom optimising and middle aggregating levels, to store memory objects and their relations. The top-level cognitive layer has been re-designed to model the Cognitive Process Language (CPL) of an earlier paper, by refactoring it into a network structure with a light scheduler. The cortex brain region is thought to be hierarchical - clustering from simple to more complex features. The refactored network might therefore challenge conventional thinking on that brain region. It is also argued that the function and structure in particular, of the new top level, is similar to the psychology theory of chunking. The model is still only a framework and does not have enough information for real intelligence. But a framework is now implemented over the whole design and so can give a more complete picture about the potential for results.