New path integral model frames cognition as cost optimization

Researchers have developed a mathematical and physical formulation for cognitive cost optimization, modeling goal-directed cognitive processes as imaginary-time evolution under a projector Hamiltonian. This approach aligns with a double-bracket flow and can be re-expressed as an equivalent unitary evolution through Wick rotation, admitting a discrete path-integral representation. The model connects unconscious to conscious processing with the strength of the unitary interaction, recovering the Gorini--Kossakowski--Sudarshan--Lindblad decoherence model in a weak-coupling limit and a projective, reportable fixation of an optimized state in a strong-coupling limit. AI

IMPACT This theoretical framework could inform future AI architectures aiming for more sophisticated cognitive processes and optimization.

RANK_REASON The cluster contains a single academic paper detailing a new theoretical model for cognition. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

• A Path Integral Model of Cognition
• arXiv
• Asano
• Gorini--Kossakowski--Sudarshan--Lindblad
• Hamiltonian operator
• Hilbert--Schmidt
• Lindblad equation
• Neurons and Cognition
• Quantitative Biology
• Wick rotation

• paper
• other

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