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https://dx.doi.org/10.26190/un...
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Article . 2016
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Article . 2016
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Interdependent scheduling games

Authors: Abeliuk, A; Aziz, H; Berbeglia, G; Gaspers, S; Kalina, P; Mattei, N; Peters, D; +3 Authors

Interdependent scheduling games

Abstract

We propose a model of interdependent scheduling games in which each player controls a set of services that they schedule independently. A player is free to schedule his own services at any time; however, each of these services only begins to accrue reward for the player when all predecessor services, which may or may not be controlled by the same player, have been activated. This model, where players have interdependent services, is motivated by the problems faced in planning and coordinating large-scale infrastructures, e.g., restoring electricity and gas to residents after a natural disaster or providing medical care in a crisis when different agencies are responsible for the delivery of staff, equipment, and medicine. We undertake a game-theoretic analysis of this setting and in particular consider the issues of welfare maximization, computing best responses, Nash dynamics, and existence and computation of Nash equilibria.

Accepted to IJCAI 2016

Country
Australia
Keywords

I.2, FOS: Computer and information sciences, 330, J.4, Computer Science - Artificial Intelligence, J.4; I.2; F.2.2, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Artificial Intelligence (cs.AI), Computer Science - Computer Science and Game Theory, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multiagent Systems, F.2.2, 91A80, 90B35, 91B74, Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green