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Journal ArticleDOI

Reaching a Consensus

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TLDR
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.

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Citations
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Proceedings ArticleDOI

Learning over social networks via diffusion adaptation

TL;DR: It is shown that the diffusion algorithm converges almost surely to the true state and the superior convergence rate of the diffusion strategy over consensus-based strategies since diffusion schemes allow information to diffuse more thoroughly through the network.
Journal ArticleDOI

Opinion Dynamics-Based Group Recommender Systems

TL;DR: A GRS based on opinion dynamics that considers these relationships using a smart weights matrix to drive the process and has the following advantages: 1) flexible aggregation method; 2) member relationships; and 3) agreed recommendations.
Proceedings ArticleDOI

On distributed cooperative decision-making in multiarmed bandits

TL;DR: In this article, the explore-exploit tradeoff in distributed cooperative decision-making using the context of the multi-armed bandit (MAB) problem is studied, and the cooperative UCB algorithm that comprises two interleaved distributed processes: (i) running consensus algorithms for estimation of rewards, and (ii) upper-confidence bound-based heuristics for selection of arms.
Journal ArticleDOI

Designing organizational structures to cope with communication breakdowns: a simulation model:

TL;DR: In this article, a model of organizational decision making when the organization is engaged in tasks so complex that the separate decisions of multiple decision makers must be integrated to locate the organization's decision is developed.
Book ChapterDOI

Cultural Integration and Differentiation in Groups and Organizations

TL;DR: It is demonstrated that two empirically grounded mechanisms of social differentiation lead to different patterns of polarization, radicalization, and factionalism and the implications for cultural dynamics in organizations are discussed.
References
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Book

Stochastic processes

J. L. Doob, +1 more
Book

A first course in stochastic processes

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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