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Empirical coordination with two-sided state information and correlated source and state

机译：具有双向状态信息以及相关的源和状态的经验协调

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摘要

The coordination of autonomous agents is a critical issue for decentralized communication networks. Instead of transmitting information, the agents interact in a coordinated manner in order to optimize a general objective function. A target joint probability distribution is achievable if there exists a code such that the sequences of symbols are jointly typical. The empirical coordination is strongly related to the joint source-channel coding with two-sided state information and correlated source and state. This problem is also connected to state communication and is open for non-causal encoder and decoder. We characterize the optimal solutions for perfect channel, for lossless decoding, for independent source and channel, for causal encoding and for causal decoding.
机译：自治代理的协调对于分散式通信网络来说是一个关键问题。代理不传递信息，而是以协调的方式进行交互，以优化一般目标功能。如果存在使符号序列共同典型的代码，则可以实现目标联合概率分布。经验协调与具有双向状态信息以及相关的源和状态的联合源通道编码紧密相关。此问题也与状态通信有关，并且对非因果编码器和解码器开放。我们描述了针对完美通道，无损解码，独立源和通道，因果编码和因果解码的最佳解决方案。

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