introduce and provide estimates for a measure we call Maximum Information Loss (MIL). Finally, we consider the setting in which agents are not endowed with information, but must produce it. We show that the validity of the well-known law of the few depends on how information aggregates; in particular, the law of the few fails when information displays complementarities.'
author:
- 'Ahmed M. Alaa, , Kartik Ahuja, and Mihaela van der Schaar, [^1]'
title: 'Self-organizing Networks of Information Gathering Cognitive Agents'
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[Alaa : Self-organizing Networks of Information Gathering Cognitive Agents]{}

Cognitive networking, cognitive agents, information networks, network formation, self-organizing networks.

Introduction
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widespread usage of mobile devices, together with the emergence of social-based services and applications, have inspired novel and self-organized networking paradigms that capitalize on the ability of mobile devices to connect and share information in an ad-hoc fashion. Contemporary networks, where users produce and exchange information, are “socio-technological" in nature; users do not necessarily exploit an exogenously designed network infrastructure, but rather form an endogenous network driven by the individual users’ quest for information. In this paper, we present a novel network formation model for information exchange over endogenously formed networks. Albeit being abstract, our model provides 