New Ideas for Brain Modelling 7

This paper further integrates the cognitive model, making it mathematically similar. The theory is that if the model stores information which can be transposed in consistent ways, then that will result in knowledge and some level of intelligence. The main constraints are time and the conservation of energy, but the information transpositions are also very limited. As part of the design, patterns have to become distinct and that is realised by unique paths through the neural structures. The design may now also define uniqueness through the pattern result and not just its links. The earlier designs are still consistent. The between-level boundaries have been moved slightly, but the functionality remains the same, with aggregations and increasing complexity through the layers. The two main models differ in their upper level only. One provides a propositional logic for mutually inclusive or exclusive pattern groups and sequences, while the other provides a behaviour script that is constructed from node types. It can be seen that these two views are complimentary and would allow some control over the behaviour that might get selected.