
TL;DR
This paper updates a cognitive model by unifying two systems at the semantic level, using pattern aggregation and hierarchy to enhance flexibility, distinctiveness, and potential for intelligent behavior.
Contribution
It introduces a unified structure combining propositional logic and behavior scripting for improved cognitive modeling and control.
Findings
Unified model supports flexible pattern matching across regions
Distinct patterns achieved through unique paths and feedback mechanisms
Combined models enable control over behaviors and memories
Abstract
This paper updates the cognitive model, firstly by creating two systems and then unifying them over the same structure. It represents information at the semantic level only, where labelled patterns are aggregated into a 'type-set-match' form. It is described that the aggregations can be used to match across regions with potentially different functionality and therefore give the structure a required amount of flexibility. 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. As part of the design, patterns have to become distinct and that is realised by unique paths through shared aggregated structures. An ensemble-hierarchy relation also helps to define uniqueness through local feedback that may even be an action potential. The earlier models are still consistent in terms of their…
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