论文信息 - Consensus in distributed estimation

Consensus in distributed estimation

A team must agree on a common decision to minimize the expected cost. Different team members have different observations relating to the ‘state of the world’, and they may also have different prior beliefs. To reach a consensus they exchange tentative decisions based on their current information. Two questions are discussed: When do the individual estimates converge? If they converge, will a consensus be reached?

Pravin Varaiya | P. Varaiya

[1] J. Geanakoplos,et al. We Can't Disagree Forever , 1982 .

[2] Pravin Varaiya,et al. Consensus in distributed estimation with inconsistent beliefs , 1984 .

[3] M. Degroot. Reaching a Consensus , 1974 .

[4] James K. Sebenius,et al. Don't Bet on it: Contingent Agreements with Asymmetric Information , 1983 .

[5] D. Teneketzis,et al. Asymptotic Agreement among Communicating Decisionmakers , 1983, 1983 American Control Conference.

[6] John N. Tsitsiklis,et al. Convergence and asymptotic agreement in distributed decision problems , 1982 .

[7] V. Borkar,et al. Asymptotic agreement in distributed estimation , 1982 .