NEO is a probabilistic neural model that induces compositional programs as a learned Language of Thought from non-textual observations and executes them via a shared transition model to enable explanation-driven generalization.
arXiv:2006.16225
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No current AI systems exhibit the indicator properties derived from established scientific theories of consciousness, yet there appear to be no fundamental technical obstacles to implementing those properties in future systems.
citing papers explorer
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Learning to Theorize the World from Observation
NEO is a probabilistic neural model that induces compositional programs as a learned Language of Thought from non-textual observations and executes them via a shared transition model to enable explanation-driven generalization.
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Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
No current AI systems exhibit the indicator properties derived from established scientific theories of consciousness, yet there appear to be no fundamental technical obstacles to implementing those properties in future systems.