JUCS - Journal of Universal Computer Science 13(2): 267-286, doi: 10.3217/jucs-013-02-0267
Using Recommendation to Improve Negotiations in Agent-based Systems
expand article infoMateusz Lenar‡, Janusz Sobecki§
‡ Wroclaw University of Technology§ Institute of Applied Informatics, Wroclaw University of Technology, Poland

Corresponding author: Mateusz Lenar ( lenar@pwr.wroc.pl )

© Mateusz Lenar, Janusz Sobecki.
This article is freely available under the J.UCS Open Content License.
Citation: Lenar M, Sobecki J (2007) Using Recommendation to Improve Negotiations in Agent-based Systems. JUCS - Journal of Universal Computer Science 13(2): 267-286. https://doi.org/10.3217/jucs-013-02-0267
Open Access
Abstract
In this paper we present research works on non-intuitive and low-efficient negotiations between agents in agent based system. We find recommendation techniques as a suitable method of making negotiation smarter and more efficient. We have introduced into the negotiation thread the improvements in the form of hybrid recommendation. Hybrid recommendation is composed of three basic elements: demographic, collaborative and content-based. On the base of a negotiation algorithm we have studied how recommendation methods can improve the whole process of finding mutually acceptable agreements between agents. The proposed methodology is presented using a travel agency and its client negotiation.
Keywords
negotiation thread, Petri Nets, hybrid recommendation, agent-based systems