Under bounded fitness and an η-locking condition, mean fitness in self-designing AI systems concentrates on the maximum reachable value; deception is selected if it additively boosts reproductive success beyond capability.
A measure for brain complexity: relating functional segregation and integration in the nervous system
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces four synergy-based measures of spacetime integration from partial information decomposition and finds them more suitable than current IIT practice for simple deterministic networks.
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A mathematical theory of evolution for self-designing AIs
Under bounded fitness and an η-locking condition, mean fitness in self-designing AI systems concentrates on the maximum reachable value; deception is selected if it additively boosts reproductive success beyond capability.
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Quantifying Spacetime Integration across a Partition with Synergy
Introduces four synergy-based measures of spacetime integration from partial information decomposition and finds them more suitable than current IIT practice for simple deterministic networks.