The more you model the memory of a system, the less you have to model the structure. It’s a sort of anti-markovian approach. Markov = maximal-state, 1-step memory. Narrative is minimal-state, maximal memory. Kinda like the big data principle (simpler algorithms, more data)
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Replying to @vgr
Can you expand here? Does modeling memory mean “the narratives the system remembers?”
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