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New path integral model frames cognition as cost optimization

By PulseAugur Editorial · [1 sources] ·

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New path integral model frames cognition as cost optimization

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

  1. arXiv cs.AI TIER_1 English(EN) · Haruki Emori, Kazunori Kondo, Atsushi Iriki, Andrei Khrennikov ·

    A Path Integral Model of Cognition

    arXiv:2607.24807v1 Announce Type: cross Abstract: We develop the mathematical and physical formulation of cognitive cost optimization that underlies the path-integral model of consciousness. The goal-directed cognitive process is modeled as imaginary-time evolution (ITE) under a …

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