Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition

arXiv:2609.16752v3 Announce Type: replace Abstract: Cognitive Field Theory describes cognition as memory-dressed collective dynamics, in which slow relaxation modes support a persistent cognitive field. By connecting non-Markovian memory dynamics to discrete recurrent state evolution through an extended state, we develop a Cognitive Field Network (CFN), a recurrent Transformer architecture with hidden-field re-entry, \( \Phi_{n+1} = F_\theta(X_{n+1},\Phi_n) \). Rather than prescribing an explicit memory operation, the CFN allows the full token-resolved hidden field to re-enter the next computa

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