Resource Allocation with Population Dynamics

04/12/2016
by   Jonathan Epperlein, et al.
0

Many analyses of resource-allocation problems employ simplistic models of the population. Using the example of a resource-allocation problem of Marecek et al. [arXiv:1406.7639], we introduce rather a general behavioural model, where the evolution of a heterogeneous population of agents is governed by a Markov chain. Still, we are able to show that the distribution of agents across resources converges in distribution, for suitable means of information provision, under certain assumptions. The model and proof techniques may have wider applicability.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/16/2021

Resource allocation in dynamic multiagent systems

Resource allocation and task prioritisation are key problem domains in t...
research
07/22/2021

Architecture-Guided Test Resource Allocation Via Logic

We introduce a new logic named Quantitative Confidence Logic (QCL) that ...
research
04/09/2014

r-Extreme Signalling for Congestion Control

In many "smart city" applications, congestion arises in part due to the ...
research
02/07/2002

Steady State Resource Allocation Analysis of the Stochastic Diffusion Search

This article presents the long-term behaviour analysis of Stochastic Dif...
research
06/03/2021

Analysis and Evaluation of the Inequality of the Spatial Distribution of Medical Resources in Jinan

This article will analyze the inequality and evaluation of the spatial d...
research
11/28/2022

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Marketing is an important mechanism to increase user engagement and impr...
research
04/26/2021

Multi-resource allocation for federated settings: A non-homogeneous Markov chain model

In a federated setting, agents coordinate with a central agent or a serv...

Please sign up or login with your details

Forgot password? Click here to reset