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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) (KAR id:35904)

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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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Kwang Mong Sim
Date Deposited: 31 Oct 2013 19:32 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35904 (The current URI for this page, for reference purposes)

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University of Kent Author Information

Sim, Kwang Mong.

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