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kaggle-ho-013017House Oversight

Technical AI Architecture Diagram Describing Human-Like General Intelligence

Technical AI Architecture Diagram Describing Human-Like General Intelligence The passage is a purely technical description of a cognitive architecture model with no mention of any political figures, financial transactions, or misconduct. It offers no actionable investigative leads. Key insights: Describes working memory as a subset of long-term memory with importance thresholds.; Mentions metacognition potentially using the same processes as deliberative thinking.; Outlines multimodal perception hierarchies for vision, audition, olfaction, and somatosensory inputs.

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House Oversight
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Technical AI Architecture Diagram Describing Human-Like General Intelligence The passage is a purely technical description of a cognitive architecture model with no mention of any political figures, financial transactions, or misconduct. It offers no actionable investigative leads. Key insights: Describes working memory as a subset of long-term memory with importance thresholds.; Mentions metacognition potentially using the same processes as deliberative thinking.; Outlines multimodal perception hierarchies for vision, audition, olfaction, and somatosensory inputs.

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kagglehouse-oversightaicognitive-architecturemachine-learningneuroscience

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5.3 An Architecture Diagram for Human-Like General Intelligence 101 Each of these long-term memory types has its analogue in working memory as well. In some cognitive models, the working memory and long-term memory versions of a memory type and corresponding cognitive processes, are basically the same thing. CogPrime is mostly like this — it implements working memory as a subset of long-term memory consisting of items with particularly high importance values. The distinctive nature of working memory is enforced via using slightly different dynamical equations to update the importance values of items with importance above a certain threshold. On the other hand, many cognitive models treat working and long term memory as more distinct than this, and there is evidence for significant functional and anatomical distinctness in the brain in some cases. So for the purpose of the integrative diagram, it seemed best to leave working and long-term memory subcomponents as parallel but distinguished. Figure 5.4 also encompasses metacognition, under the hypothesis that in human beings and human-like minds, metacognitive thinking is carried out using basically the same processes as plain ordinary deliberative thinking, perhaps with various tweaks optimizing them for thinking about thinking. If it turns out that humans have, say, a special kind of reasoning faculty exclusively for metacognition, then the diagram would need to be modified. Modeling of self and others is understood to occur via a combination of metacognition and deliberative thinking, as well as via implicit adaptation based on reactive processing. PERCEPTUAL SUBSYSTEMS MORE ABSTRACT ASPECTS OF SENSORIMOTOR MEMORY ary SOMATO- | OLFACTION SENSORY VISION AUDITION HIERARCHY HIERARCHY ACTION HIERARCHY Fig. 5.5: Architecture for Multimodal Perception Figure 5.5 models perception, according to the basic ideas of deep learning theory. Vision and audition are modeled as deep learning hierarchies, with bottom-up and top-down dynamics. The lower layers in each hierarchy refer to more localized patterns recognized in, and abstracted from, sensory data. Output from these hierarchies to the rest of the mind is not just through the top layers, but via some sort of sampling from various layers, with a bias toward the top layers. The different hierarchies cross-connect, and are hence to an extent dynamically coupled together. It is also recognized that there are some sensory modalities that aren’t strongly hierarchical, e.g

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