DocumentCode :
3501402
Title :
Predictive Negotiation Strategy Applied to Multiagent Meeting Scheduling Problems
Author :
Medina, Gisela ; Garrido, Leonardo
Author_Institution :
Center for Intell. Syst., Tecnol. de Monterrey Campus Monterrey, Monterrey
fYear :
2008
fDate :
27-31 Oct. 2008
Firstpage :
293
Lastpage :
299
Abstract :
Although there is several negotiation strategies applied to different negotiation problems, we are proposing the implementation of the modified algorithm of predictive behavior developed by Jakub Brzostowski and Ryszard Kowalczyk . We demonstrate that this modified algorithm is well performed for this kind of problems using a different representation problem. The performance is measured using the Playbook technique where our modified strategy is compared with several ones which are well performed too (Crawford and Veloso in ).
Keywords :
behavioural sciences; multi-agent systems; scheduling; Playbook technique; multiagent meeting scheduling problems; predictive behavior; predictive negotiation strategy; Artificial intelligence; Calendars; Dynamic scheduling; Intelligent systems; Job shop scheduling; Performance evaluation; Prediction algorithms; Predictive models; Proposals; Scheduling algorithm; Intelligent Agents; Meeting Scheduling; Multiagent Negotiation; Multiagent Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
Conference_Location :
Atizapan de Zaragoza
Print_ISBN :
978-0-7695-3441-1
Type :
conf
DOI :
10.1109/MICAI.2008.54
Filename :
4682478
Link To Document :
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