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kaggle-ho-013082House Oversight

Conceptual AGI Theory on Embodied Communication Prior and Naive Physics

Conceptual AGI Theory on Embodied Communication Prior and Naive Physics The passage discusses theoretical frameworks for artificial general intelligence without mentioning any political figures, government agencies, financial transactions, or controversial actions. It offers no actionable leads for investigations into misconduct or power structures. Key insights: Proposes the Embodied Communication Prior as a basis for efficient general intelligence.; Suggests extending the analysis to general simplicity measures and their decomposability.; Introduces the idea of Cognitive Synergy Theory as a special case of a broader theory.

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House Oversight
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Conceptual AGI Theory on Embodied Communication Prior and Naive Physics The passage discusses theoretical frameworks for artificial general intelligence without mentioning any political figures, government agencies, financial transactions, or controversial actions. It offers no actionable leads for investigations into misconduct or power structures. Key insights: Proposes the Embodied Communication Prior as a basis for efficient general intelligence.; Suggests extending the analysis to general simplicity measures and their decomposability.; Introduces the idea of Cognitive Synergy Theory as a special case of a broader theory.

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kagglehouse-oversightagitheorycognitive-sciencenaive-physicsembodied-cognition

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EFTA Disclosure
Text extracted via OCR from the original document. May contain errors from the scanning process.
166 9 General Intelligence in the Everyday Human World Under the assumption of the Embodied Communication Prior (with the Natural Knowledge Categories assumption), the property above called “cognitive complete- ness” is necessary and sufficient for efficient general intelligence at the level of an inteligent adult human (e.g. at the Piagetan formal level [Pia53]). Of course, the above considerations are very far from a rigorous mathematical proof (or even precise formulation) of this hypothesis. But we are presenting this here as a conceptual hypothesis, in order to qualitatively guide our practical AGI R&D and also to motivate further, more rigorous theoretical work. 9.3.1 Generalizing the Embodied Communication Prior One interesting direction for further research would be to broaden the scope of the inquiry, in a manner suggested above: instead of just looking at the ECP, look at simplicity measures in general, and attack the question of how a mind must be structured in order to display efficient general intelligence relative to a specified simplicity measure. This problem seems unapproach- able in general, but some special cases may be more tractable. For instance, suppose one has e asimplicity measure that (like the ECP) is approximately decomposable into a set of fairly distinct components, plus their interactions ® an assumption similar to NKC, which states that the entities displaying simplicity according to each of the distinct components, are roughly clustered together in entity-space Then one should be able to say that, to achieve efficient general intelligence relative to this decomposable simplicity measure, a system should have distinct capabilities corresponding to each of the components of the simplicity measure interactions between these capabilities, corresponding to the interaction terms in the simplicity measure. With copious additional work, these simple observations could potentially serve as the seed for a novel sort of theory of general intelligence — a theory of how the structure of a system depends on the structure of the simplicity measure with which it achieves efficient general intelligence. Cognitive Synergy Theory would then emerge as a special case of this more abstract theory. 9.4 Naive Physics Multimodal communication is an important aspect of the environment for which human in- telligence evolved — but not the only one. It seems likely that our human intelligence is also closely adapted to various aspects of our physical environment — a matter that is worth carefully attending as we design environments for our robotically or virtually embodied AGI systems to operate in. One interesting guide to the most cognitively relevant aspects of human environments is the subfield of AI known as “naive physics” [Hay85] — a term that refers to the theories about the physical world that human beings implicitly develop and utilize during their lives. For instance,

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