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An Adversarial Algorithm for Delegation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationAgreement Technologies - 6th International Conference, AT 2018, Revised Selected Papers
EditorsMarin Lujak
PublisherSpringer-Verlag
Pages130-145
Number of pages16
ISBN (Print)9783030172930
DOIs
Publication statusPublished - 4 Apr 2019
Event6th International Conference on Agreement Technologies, AT 2018 - Bergen, Norway
Duration: 6 Dec 20187 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11327 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Agreement Technologies, AT 2018
CountryNorway
CityBergen
Period6/12/187/12/18

Abstract

Task delegation lies at the heart of the service economy, and is a fundamental aspect of many agent marketplaces. Research in computational trust considers which agent a task should be delegated to for execution given the agent’s past behaviour. However, such work does not consider the effects of the agent delegating the task onwards, forming a chain of delegations before the task is finally executed (as occurs in many human outsourcing scenarios). In this paper we consider such delegation chains, and empirically demonstrate that existing trust based approaches do not handle these situations as well. We then introduce a new algorithm based on quitting games to cater for recursive delegation.

Event

6th International Conference on Agreement Technologies, AT 2018

6/12/187/12/18

Bergen, Norway

Event: Conference

ID: 113766181