Skip to main content

Complex and Concurrent Negotiations for Multiple Interrelated e-Markets

Sim, Kwang Mong (2013) Complex and Concurrent Negotiations for Multiple Interrelated e-Markets. IEEE Transactions on Cybernetics, 43 (1). pp. 230-245. ISSN 2168-2267. (doi:10.1109/TSMCB.2012.2204742) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

This is the latest version of this item.

PDF (Restricted due to copyrights) - Publisher pdf
Restricted to Repository staff only
Contact us about this Publication Download (1MB)
[img]
Official URL
http://dx.doi.org/10.1109/TSMCB.2012.2204742

Abstract

To date, most of the existing bargaining models are designed for supporting negotiation in only one market involving only two types of participants (buyers and sellers). This work devises a complex negotiation mechanism that supports negotiation activities among three types of participants in multiple interrelated markets. The complex negotiation mechanism consists of: 1) a bargaining-position-estimation (BPE) strategy for the multilateral negotiations between consumer and broker agents in a service market and 2) a regression-based coordination (RBC) strategy for concurrent negotiations between broker and provider agents in multiple resource markets. The negotiation outcomes between broker and provider agents in a resource market can potentially influence the negotiation outcomes between broker and consumer agents in a service market. Empirical results show that agents adopting the BPE strategy can better respond to different market conditions than agents adopting the time-dependent strategy because they do not make excessive (respectively, inadequate) amounts of concessions in favorable (respectively, unfavorable) markets. In the concurrent negotiations in multiple resource markets, empirical results show that broker agents adopting the RBC strategy achieved significantly higher utilities, higher success rates, and faster negotiation speed than broker agents adopting the utility-oriented and patient coordination strategies.

Item Type: Article
DOI/Identification number: 10.1109/TSMCB.2012.2204742
Uncontrolled keywords: Agent-based Cloud computing, automated negotiation, bargaining, cloud economics, cloud resource allocation, complex negotiation, concurrent negotiation, negotiation agent.
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Kwang Mong Sim
Date Deposited: 31 Oct 2013 19:32 UTC
Last Modified: 29 May 2019 11:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35904 (The current URI for this page, for reference purposes)

Available versions of this item

  • Complex and Concurrent Negotiations for Multiple Interrelated e-Markets. (deposited 31 Oct 2013 19:32) [Currently Displayed]
  • Depositors only (login required):

Downloads

Downloads per month over past year