Structural results for two-user interactive communication

Chakravorty, Jhelum; Mahajan, Aditya

doi:10.1109/isit.2016.7541278

Cited by 2 publications

(1 citation statement)

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“…Information sharing has been studied in several research areas. In [8], the problem of interactive communication between users that obtain noisy measurements about a state variable was investigated. The users are allowed to exchange information in the form of quantized symbols.…”

Section: A Related Workmentioning

confidence: 99%

Dynamic Information Sharing and Punishment Strategies

Ntemos¹,

Pikramenos²,

Kalouptsidis³

2021

Preprint

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In this paper we study the problem of information sharing among rational self-interested agents as a dynamic game of asymmetric information. We assume that the agents imperfectly observe a Markov chain and they are called to decide whether they will share their noisy observations or not at each time instant. We utilize the notion of conditional mutual information to evaluate the information being shared among the agents. The challenges that arise due to the interdependence of agents' information structure and decision-making are exhibited. For the finite horizon game we prove that agents do not have incentive to share information. In contrast, we show that cooperation can be sustained in the infinite horizon case by devising appropriate punishment strategies which are defined over the agents' beliefs on the system state. We show that these strategies are closed under the best-response mapping and that cooperation can be the optimal choice in some subsets of the state belief simplex. We characterize these equilibrium regions, prove uniqueness of a maximal equilibrium region and devise an algorithm for its approximate computation.

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Section: A Related Workmentioning

confidence: 99%