57 research outputs found
A parabolic approach to the control of opinion spreading
We analyze the problem of controlling to consensus a nonlinear system
modeling opinion spreading. We derive explicit exponential estimates on the
cost of approximately controlling these systems to consensus, as a function of
the number of agents N and the control time-horizon T. Our strategy makes use
of known results on the controllability of spatially discretized semilinear
parabolic equations. Both systems can be linked through time-rescalin
Learning to play 3 x 3 games : neural networks as bounded-rational players
We present a neural network methodology for learning game-playing rules in general. Existing research suggests learning to find a Nash equilibrium in a new game is too difficult a task for a neural network, but says little about what it will do instead. We observe that a neural network trained to find Nash equilibria in a known subset of games, will use self-taught rules developed endogenously when facing new games. These rules are close to payoff dominance and its best response. Our findings are consistent with existing experimental results, both in terms of subject's methodology and success rates
Smoking behaviors before and after implementation of a smoke-free legislation in Guangzhou, China
Increased Incidence of Clostridium difficile-Associated Diarrhea Following Decreased Restriction of Antibiotic Use
Changes of Flavor Compounds of Hydrolyzed Chicken Bone Extracts during Maillard Reaction
When compared to plasma‐based detection, osimertinib‐treated non‐small cell lung cancer (NSCLC) with tissue rebiopsy‐confirmed acquired T790M mutation is associated with better survival
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