In the following subsection, we briefly review these related works on endogenous network formation.

Related Works
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Strategic network formation was first studied in the economics literature. Some of this literature [@ref12]-[@ref141] asks which networks are stable (according to some criteria) and hence more likely to persist and be observed. A (smaller) literature asks which networks emerge as the result of some specific dynamic process [@ref15] [@ref16]. In all these works, simplistic benefit functions are used: the value of each additional “good" exchanged is constant [@ref12]-[@mih2]. However, in realistic settings, information possessed by different agents can be redundant or complementary. For instance, secondary users in a multi-band cognitive radio system may be interested in gathering information about spectrum occupancy for bands that they do not sense by communicating with other users who do sense these bands [@ref8]; sensors deployed over a correlated random field [@ref17]-[@ref187] may be interested in gathering complementary measurements about some set of physical processes of interest; and mobile users who exchange offloaded traffic of SNSs and context-aware applications are only interested in gathering non-redundant traffic and data updates.

Summary of contributions
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This paper introduces a new model for strategic network formation where autonomous cognitive agents 