Skip to main navigation Skip to search Skip to main content

Requests management for smartphone-based matching applications using a multi-agent approach

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

We present a new multi-agent approach to managing how requests are sent between users of smartphone-based applications for reaching bi-lateral agreements. Each agent is modelled as having a selfish behaviour based on his preferences and an altruist behaviour with respect to the links between the agent and his neighbours. The objective is to maximise the likelihood of an acceptable match while minimising the burden on the users due to unnecessary messaging. We provide a dynamic algorithm using this architecture and we present an empirical evaluation with various mathematical models of user behaviour and altruism. The evaluation shows that our approach can reduce the risks of rejections and the number of requests while increasing the likelihood of acceptable matches.

Original languageEnglish
Title of host publicationLearning and Intelligent Optimization - 10th International Conference, LION 10, Revised Selected Papers
EditorsPaola Festa, Meinolf Sellmann, Joaquin Vanschoren
PublisherSpringer Verlag
Pages173-186
Number of pages14
ISBN (Print)9783319503486
DOIs
Publication statusPublished - 2016
Event10th International Conference on Learning and Intelligent Optimization, LION 10 - Ischia, Italy
Duration: 29 May 20161 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10079 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Learning and Intelligent Optimization, LION 10
Country/TerritoryItaly
CityIschia
Period29/05/161/06/16

Fingerprint

Dive into the research topics of 'Requests management for smartphone-based matching applications using a multi-agent approach'. Together they form a unique fingerprint.

Cite this