Conditioning via resets in a socks-before-shoes population model imposes hierarchical temporal ordering on multi-step processes, making fastest-growing populations automatically the most ordered when disorder incurs a time penalty.
Touchette, Physics Reports478, 1 (2009)
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Derives a Boltzmann-like distribution over actions via maximum entropy subject to a mean-action constraint, producing a Markovian stochastic propagator that matches Brownian motion and remains covariant at relativistic speeds.
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Conditioning as a route to stereotyped behavior in growing populations
Conditioning via resets in a socks-before-shoes population model imposes hierarchical temporal ordering on multi-step processes, making fastest-growing populations automatically the most ordered when disorder incurs a time penalty.
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Stochastic dynamics from maximum entropy in action space
Derives a Boltzmann-like distribution over actions via maximum entropy subject to a mean-action constraint, producing a Markovian stochastic propagator that matches Brownian motion and remains covariant at relativistic speeds.