Introduces an access contest game with costly efforts and probabilistic allocation, proving equilibrium existence, capture thresholds for two modules, efficient approximation, and an impossibility result for exact winner-take-all mechanisms.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
Large-scale analysis of global popular music shows uncorrelated melodic and rhythmic diversities, with only rhythm linked to ethnic and linguistic heterogeneity.
People judge copying AI-generated content as less wrong than copying human work because AI lacks moral patiency and humans claim more ownership of AI outputs.
citing papers explorer
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Game-Theoretic Foundations of Competition for Conscious Access
Introduces an access contest game with costly efforts and probabilistic allocation, proving equilibrium existence, capture thresholds for two modules, efficient approximation, and an impossibility result for exact winner-take-all mechanisms.
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Human face perception reflects inverse-generative and naturalistic discriminative objectives
Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
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Do Melody and Rhythm Coevolve?
Large-scale analysis of global popular music shows uncorrelated melodic and rhythmic diversities, with only rhythm linked to ethnic and linguistic heterogeneity.
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Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content
People judge copying AI-generated content as less wrong than copying human work because AI lacks moral patiency and humans claim more ownership of AI outputs.