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  1. Quantum Markov blankets for meta-learned classical inferential paradoxes with suboptimal free energy.Kevin B. Clark - 2024 - Behavioral and Brain Sciences 47:e150.
    Quantum active Bayesian inference and quantum Markov blankets enable robust modeling and simulation of difficult-to-render natural agent-based classical inferential paradoxes interfaced with task-specific environments. Within a non-realist cognitive completeness regime, quantum Markov blankets ensure meta-learned irrational decision making is fitted to explainable manifolds at optimal free energy, where acceptable incompatible observations or temporal Bell-inequality violations represent important verifiable real-world outcomes.
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  • Communication consistency, completeness, and complexity of digital ideography in trustworthy mobile extended reality.Kevin B. Clark - 2023 - Behavioral and Brain Sciences 46:e239.
    Communication barriers long-associated with ideographs, including combinatorial grapholinguistic complexity, computational encoding–decoding complexity, and technological rendering and deployment, become trivialized through advancements in interoperable smart mobile digital devices. Such technologies impart unprecedented extended-reality user hazards only mitigated by unprecedented colloquial and bureaucratic societal norms. Digital age norms thus influence natural ideographic language origins and evolution in ways novel to human history.
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