Journal ArticleDOI
Reaching a Consensus
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In this article, the authors consider a group of individuals who must act together as a team or committee, and assume that each individual in the group has his own subjective probability distribution for the unknown value of some parameter.Abstract:
Consider a group of individuals who must act together as a team or committee, and suppose that each individual in the group has his own subjective probability distribution for the unknown value of some parameter. A model is presented which describes how the group might reach agreement on a common subjective probability distribution for the parameter by pooling their individual opinions. The process leading to the consensus is explicitly described and the common distribution that is reached is explicitly determined. The model can also be applied to problems of reaching a consensus when the opinion of each member of the group is represented simply as a point estimate of the parameter rather than as a probability distribution.read more
Citations
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Proceedings ArticleDOI
Efficient Bayesian Learning in Social Networks with Gaussian Estimators
TL;DR: In this paper, the authors consider a group of agents who try to estimate a state of the world through interaction on a social network, and they show that the process converges after at most 2N \cdot D$ steps, where N is the number of agents and D is the diameter of the network.
Journal ArticleDOI
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT
Dejan Vukobratovic,Dusan Jakovetic,Vitaly Skachek,Dragana Bajovic,Dino Sejdinovic,Gunes Karabulut Kurt,Camilla Hollanti,Ingo Fischer +7 more
TL;DR: A novel architecture dubbed Condense is proposed which integrates the IoT-communication infrastructure into the data analysis via the generic concept of network function computation, and the relevant literature on computing atomic functions in both analog and digital domains is surveyed.
Posted Content
Optimal Opinion Control : The Campaign Problem
TL;DR: In this article, the authors formulate and then study a novel perspective on opinion dynamics, namely strategic perspective on such dynamics: there are the usual 'normal' agents that update their opinions, for instance according to the well-known bounded confidence mechanism.
Journal ArticleDOI
Listen to Your Neighbors: How (Not) to Reach a Consensus
TL;DR: It is shown that, for any truly local network of agents, there are instances in which the network is not capable of reaching such a consensus and every truly local computational approach that requires reaching a consensus is not failure-free.
Posted Content
Network Aggregative Games and Distributed Mean Field Control via Consensus Theory.
TL;DR: Theoretical findings from network aggregative games are applied to study a novel multi-dimensional, convex-constrained model of opinion dynamics and a hierarchical demand-response scheme for energy management in smart buildings, extending literature results.
References
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Journal ArticleDOI
An Introduction to Probability Theory and Its Applications
David A. Freedman,William Feller +1 more
Journal ArticleDOI
An Introduction to Probability Theory and Its Applications.
Book
A first course in stochastic processes
Samuel Karlin,Howard M. Taylor +1 more
TL;DR: In this paper, the Basic Limit Theorem of Markov Chains and its applications are discussed and examples of continuous time Markov chains are presented. But they do not cover the application of continuous-time Markov chain in matrix analysis.
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