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Strong price of anarchy

Games and Economic Behavior, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nir Andelman   +2 more
openaire   +3 more sources

A microsimulation based analysis of the price of anarchy in traffic routing: The enhanced Braess network case

Journal of Intelligent Transportation Systems / Taylor & Francis, 2021
In the scientific literature, the ratio between the total travel cost under a user equilibrium assignment and the total travel cost under a system optimum assignment is typically referred to as the Price of Anarchy (PoA), i.e., the level of inefficiency ...
A. Belov   +4 more
semanticscholar   +1 more source

The price of anarchy in loss systems

Naval Research Logistics, 2021
Assume a multi‐server memoryless loss system. Each server is associated with a service rate and a value of service. Customers from a common Poisson arrival process are routed to the servers in an unobservable way, where the goal is to maximize the long ...
Shoshana Anily, M. Haviv
semanticscholar   +1 more source

Price of Anarchy for Green Digital Twin Enabled Logistics

International Symposium on Computers and Communications
In the era of smart cities and Industry 4.0, Digital Twin (DT) technologies have emerged as transformative tools for optimizing urban and industrial systems.
Manuele Favero   +3 more
semanticscholar   +1 more source

Tight bounds on the weak price of anarchy for the randomized externality policy in scheduling games with multi-job players

Journal of the Operational Research Society
Most research on scheduling games assumes a single-job model, where each job can be seen as a distinct player. Every player decides to assign her job to a machine to minimize her own completion time according to a local policy for ordering jobs on a ...
Po-An Chen   +4 more
semanticscholar   +1 more source

Improving the Price of Anarchy via Predictions in Parallel-Link Networks

Proceedings of the ACM Web Conference 2026
We study non-atomic congestion games on parallel-link networks with polynomial latencies. We investigate the power of machine-learned predictions in the design of coordination mechanisms aimed at minimizing the impact of selfishness.
George Christodoulou   +3 more
semanticscholar   +1 more source

Price of anarchy in parallel processing

Information Processing Letters, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lingfei Yu   +3 more
openaire   +2 more sources

D3C: Reducing the Price of Anarchy in Multi-Agent Learning

Adaptive Agents and Multi-Agent Systems, 2020
In multiagent systems, the complex interaction of fixed incentives can lead agents to outcomes that are poor (inefficient) not only for the group, but also for each individual.
I. Gemp   +6 more
semanticscholar   +1 more source

Data-Driven Models of Selfish Routing: Why Price of Anarchy Does Depend on Network Topology

Workshop on Internet and Network Economics, 2020
We investigate traffic routing both from the perspective of real world data as well as theory. First, we reveal through data analytics a natural but previously uncaptured regularity of real world routing behavior.
F. Benita   +4 more
semanticscholar   +1 more source

On the Sequential Price of Anarchy of Isolation Games

Journal of Combinatorial Optimization, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anna Angelucci   +3 more
openaire   +6 more sources

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