The Dynamics of Influence Systems

Author(s): Chazelle, Bernard

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DC Field	Value	Language
dc.contributor.author	Chazelle, Bernard	-
dc.date.accessioned	2021-10-08T19:46:00Z	-
dc.date.available	2021-10-08T19:46:00Z	-
dc.date.issued	2012	en_US
dc.identifier.citation	Chazelle, Bernard. "The Dynamics of Influence Systems." IEEE 53rd Annual Symposium on Foundations of Computer Science (2012): pp. 311-320. doi:10.1109/FOCS.2012.70	en_US
dc.identifier.issn	0272-5428	-
dc.identifier.uri	https://www.cs.princeton.edu/~chazelle/pubs/focs12chazelle-proc.pdf	-
dc.identifier.uri	http://arks.princeton.edu/ark:/88435/pr1g82d	-
dc.description.abstract	Influence systems form a large class of multiagent systems designed 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. Besides resolving the dynamics of a popular family of multiagent systems, the other contribution of this work is to introduce a new type of renormalization-based bifurcation analysis for multiagent systems.	en_US
dc.format.extent	311 - 320	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartof	IEEE 53rd Annual Symposium on Foundations of Computer Science	en_US
dc.rights	Author's manuscript	en_US
dc.title	The Dynamics of Influence Systems	en_US
dc.type	Conference Article	en_US
dc.identifier.doi	10.1109/FOCS.2012.70	-
pu.type.symplectic	http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article	en_US

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