Abstract
We model the decentralized defence choice of agents connected in a directed graph and exposed to an external threat. The network allows players to receive goods from one or more producers through directed paths. Each agent is endowed with a finite and divisible defence resource that can be allocated to their own security or to that of their peers. The external threat is represented by either a random attack on one of the nodes or by an intelligent attacker who aims to maximize the flow-disruption by seeking to destroy one node. We show that under certain conditions a decentralized defence allocation is efficient when we assume the attacker to be strategic: a centralized allocation of defence resources which minimizes the flow-disruption coincides with a decentralized equilibrium allocation. On the other hand, when we assume a random attack, the decentralized allocation is likely to diverge from the central planner’s allocation.
Original language | English |
---|---|
Pages (from-to) | 1-18 |
Journal | Defence and Peace Economics |
Volume | 31 |
Early online date | 15 Mar 2019 |
DOIs | |
Publication status | Published - 2020 |
Fingerprint
Dive into the research topics of 'Decentralized Defence of a (Directed) Network Structure'. Together they form a unique fingerprint.Profiles
-
Marco Pelliccia
- School of Social Sciences - Assistant Professor
- School of Social Sciences, Edinburgh Business School - Assistant Professor
Person: Academic (Teaching)