0000000000367137

AUTHOR

Mark Cannon

showing 2 related works from this author

Consensus in opinion dynamics as a repeated game

2018

Abstract We study an n -agent averaging process with dynamics subject to controls and adversarial disturbances. The model arises in multi-population opinion dynamics with macroscopic and microscopic intertwined dynamics. The averaging process describes the influence from neighbouring populations, whereas the input term indicates how the distribution of opinions in the population changes as a result of dynamical evolutions at a microscopic level (individuals’ changing opinions). The input term is obtained as the vector payoff of a two player repeated game. We study conditions under which the agents achieve robust consensus to some predefined target set. Such conditions build upon the approac…

Computer Science::Computer Science and Game Theory0209 industrial biotechnologyeducation.field_of_studyComputer scienceStochastic gamePopulation02 engineering and technologyApproachability01 natural sciences010305 fluids & plasmasTerm (time)020901 industrial engineering & automationControl and Systems EngineeringDynamics (music)0103 physical sciencesRepeated gameElectrical and Electronic EngineeringSet (psychology)educationMathematical economicsGame theoryAutomatica
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Robust consensus in social networks and coalitional games

2014

We study an n-player averaging process with dynamics subject to controls and adversarial disturbances. The model arises in two distinct application domains: i) coalitional games with transferable utilities (TU) and ii) opinion propagation. We study conditions under which the average allocations achieve robust consensus to some predefined target set.

Adversarial systemMathematical optimizationProcess (engineering)Game theory networks allocations robust receding horizon control.EconomicsSettore MAT/09 - Ricerca OperativaSet (psychology)Mathematical economicsGame theory
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