Bayesian generalized network design
Copyright policy )Bayesian generalized network design
We study network coordination problems, as captured by the setting of generalized network design (Emek et al., STOC 2018), in the face of uncertainty resulting from partial information that the network users hold regarding the actions of their peers. This uncertainty is formalized using Alon et al.'s Bayesian ignorance framework (TCS 2012). While the approach of Alon et al. is purely combinatorial, the current paper takes into account computational considerations: Our main technical contribution is the development of (strongly) polynomial time algorithms for local decision making in the face of Bayesian uncertainty.
25 pages, 0 figure. An extended abstract of this paper is to appear in the 27th Annual European Symposium on Algorithms (ESA 2019)
FOS: Computer and information sciences, Network design and communication in computer systems, 330, diseconomies of scale, generalized network design, 68W25, 004, Bayesian problems; characterization of Bayes procedures, Computer Science - Computer Science and Game Theory, Bayesian competitive ratio, energy consumption, Bayesian ignorance, Computer Science - Data Structures and Algorithms, Deterministic network models in operations research, Data Structures and Algorithms (cs.DS), F.2.2, approximation algorithms, smoothness, best response dynamics, Computer Science and Game Theory (cs.GT)
FOS: Computer and information sciences, Network design and communication in computer systems, 330, diseconomies of scale, generalized network design, 68W25, 004, Bayesian problems; characterization of Bayes procedures, Computer Science - Computer Science and Game Theory, Bayesian competitive ratio, energy consumption, Bayesian ignorance, Computer Science - Data Structures and Algorithms, Deterministic network models in operations research, Data Structures and Algorithms (cs.DS), F.2.2, approximation algorithms, smoothness, best response dynamics, Computer Science and Game Theory (cs.GT)
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).1 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!