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Network evolution with incomplete information and learning. Abstract: We analyze networks that feature reputational learning: how links are initially formed ...
ABSTRACT. We analyze networks that feature reputational learning: how links are initially formed by agents under incomplete infor-.
Abstract: We analyze networks that feature reputational learning: how links are initially formed by agents under incomplete information, how agents learn ...
Network evolution with incomplete information and learning
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We analyze networks that feature reputational learning: how links are initially formed by agents under incomplete information, how agents learn about their ...
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It is shown that preventing two agents from linking with each other can be social beneficial, even if the two agents are initially believed to be of high ...
Nov 17, 2023 · Quantitatively understanding the evolution of collective behaviour in animal and human societies is a fundamental question in modern science.
1 We emphasize that we study learning during the network formation process, rather than learning in an exogenously given and fixed ... network under incomplete ...
Apr 5, 2013 · The network learning models considered in this article are com- ... .02 The evolution of each agent's action values over time ... work to model ...
We next study penalized likelihood methods using incomplete order information. ... A number of formalisms have been proposed for learning networks from data [47,.
In this paper, we provide a novel approach to analyze how incomplete information about the network affects behavior and learning processes. We propose a ...