Given the Meijer paper "A New Premise for Quantum Physics, Consciousness and Fabric of Reality," I am developing an OpEMCSS systems science simulation model. The system is a network of concurrent processes that synchronize after each "blink" to create simultaneity and entanglement throughout the Information and Material universe. The prior "blink" each process determines the current local quantum state. Next, the non local rules defining implicate order are applied to determine the best fitting future quantum state. These rules are global to the entire system (the laws of physics are the same everywhere). The subsequent "blink" occurs after all concurrent processes are synchronized to create space time. The model begins at the "big bang" where all is in chaos. We can assume a goal is minimize entropy. Therefore, many quantum states must be eliminated. What is the criteria to select good/bad states. Is entropy to be minimized globally rather than for local processes? Where basic rules at the beginning to guide rule learning? Further, stimulus/response rules can be organized into a rule network using what I call concept rules. Concept rules form a hierarchy that greatly speeds up decision making, looking like a neural network or brain.
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