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|Abstract:||Influence systems seek to model how influence, broadly defined, spreads across a dynamic network. We build a general analytical framework which we then use to prove that, while Turing-complete, influence dynamics of the diffusive type is almost surely asymptotically periodic. In addition to resolving the dynamics of a widely used family of multiagent systems, we introduce a general renormalization method for the bifurcation analysis of multiagent systems.|
|Citation:||Chazelle, Bernard. "Diffusive Influence Systems." SIAM Journal on Computing 44, no. 5 (2015): pp. 1403-1442. doi:10.1137/120882640|
|Pages:||1403 - 1442|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||SIAM Journal on Computing|
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