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Learning in Networks: a survey

  • Sanjeev Goyal

    ()

This paper presents a survey of research on learning with a special focus on the structure of interaction between individual entities. The structure is formally modelled as a network: the nodes of the network are individuals while the arcs admit a variety of interpretations (ranging from information channels to social and economic ties). I first examine the nature of learning about optimal actions for a given network architecture. I then discuss learning about optimal links and actions in evolving networks.

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File URL: http://www.essex.ac.uk/economics/discussion-papers/papers-text/dp563.pdf
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Paper provided by University of Essex, Department of Economics in its series Economics Discussion Papers with number 563.

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Date of creation: 08 Sep 2003
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Handle: RePEc:esx:essedp:563
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