English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/130285
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Using reputation and adaptive coalitions to support collaboration in competitive environments

AuthorsPeleteiro, Ana M.; Burguillo, Juan Carlos; Luck, Michael; Arcos Rosell, Josep Lluís ; Rodríguez-Aguilar, Juan Antonio
KeywordsDecision making
Autonomous agents
Customer satisfaction
Competitive environments
Issue Date2015
CitationEngineering Applications of Artificial Intelligence 45: 325- 338 (2015)
AbstractInternet-based scenarios, like co-working, e-freelancing, or crowdsourcing, usually need supporting collaboration among several actors that compete to service tasks. Moreover, the distribution of service requests, i.e., the arrival rate, varies over time, as well as the service workload required by each customer. In these scenarios, coalitions can be used to help agents to manage tasks they cannot tackle individually. In this paper we present a model to build and adapt coalitions with the goal of improving the quality and the quantity of tasks completed. The key contribution is a decision making mechanism that uses reputation and adaptation to allow agents in a competitive environment to autonomously enact and sustain coalitions, not only its composition, but also its number, i.e., how many coalitions are necessary. We provide empirical evidence showing that when agents employ our mechanism it is possible for them to maintain high levels of customer satisfaction. First, we show that coalitions keep a high percentage of tasks serviced on time despite a high percentage of unreliable workers. Second, coalitions and agents demonstrate that they successfully adapt to a varying distribution of customers' incoming tasks. This occurs because our decision making mechanism facilitates coalitions to disband when they become non-competitive, and individual agents detect opportunities to start new coalitions in scenarios with high task demand. © 2015 Elsevier Ltd. All rights reserved.
Identifiersdoi: 10.1016/j.engappai.2015.07.009
issn: 0952-1976
Appears in Collections:(IIIA) Artículos
Files in This Item:
File Description SizeFormat 
EAAI,2015,v45(1),pp.325-338..pdf566,07 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.