Two monkeys solved combinatorial optimization problems for rewards. They deliberated for extended durations, approximated efficient computational algorithms for managing complexity, and even selected algorithms according to the computational complexity of the trial. These findings reveal evidence for algorithm-based reasoning and establish a paradigm for studying the neurophysiological basis of deliberative thought.
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References
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This is a summary of: Hong, T. & Stauffer, W. R. Computational complexity drives sustained deliberation. Nat. Neurosci. https://doi.org/10.1038/s41593-023-01307-6 (2023).
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Computational strategies for deliberative thought. Nat Neurosci 26, 735–736 (2023). https://doi.org/10.1038/s41593-023-01309-4
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DOI: https://doi.org/10.1038/s41593-023-01309-4
