Mind and Cosmos as Throughput Systems: A Convergence Through the Throughput Model

This paper advances a conceptual and mathematical foundations approach by applying the throughput model (TPM) to cosmic phenomena, reframing the universe as an extended information processing system. TPM's four stages, Perception, Information, Judgement and Decision Choice, are reformulated in explicit information‐theoretic and dynamical systems terms, yielding five quantitative predictions for astrophysical contexts including stellar populations, galaxy mergers, large‐scale structure, black holes and planetary systems. Each prediction is accompanied by falsifiability conditions and candidate observations, positioning TPM as a testable framework rather than a purely interpretive schema. Theoretically, TPM identifies recurring operations across complex systems: selective coupling, entropy‐driven structuring, constraint‐satisfying evaluation and trajectory selection in state space. This perspective treats information as an active organizer of dynamics, challenging mechanistic views that regard it as a passive descriptor. Practically, TPM offers a template for cosmological simulations, AI architectures and interdisciplinary synthesis by unifying cognitive science, astrophysics and complexity theory under a shared information‐theoretic vocabulary. Limitations are acknowledged: The framework remains conceptual, with risks of anthropomorphic interpretation if cognitive terms are read literally. Future research should prioritize empirical testing using astrophysical datasets and laboratory studies of self‐organizing systems, while maintaining the Level 2 structural‐isomorphism stance. TPM thus provides a coherent, falsifiable lens for exploring whether the structures underlying human cognition reflect universal principles of cosmic organization.