A Meta-Strategy for Coordinating of One-to-Many Negotiation over Multiple Issues

Mansour, Khalid; Kowalczyk, Ryszard

doi:10.1007/978-3-642-25664-6_40

Cited by 19 publications

(17 citation statements)

References 12 publications

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“…Several studies were published to address some aspects of the one-to-many negotiation [11], [15], [19], [22]. Most published works focus on the situation where agents negotiate a single QoS issue (e.g., price) for the purpose of securing one agreement.…”

Section: Related Workmentioning

confidence: 99%

“…The parameter ρ 2 is used to determine the amount of change to each member in W. In testing different ρ 2 , we choose ρ 1 = 2. The new generated W matrix is adjusted before its final use (see lines [10][11][12][13][14][15][16][17][18][19] in Algorithm 3). The last step is important to make sure that the weight of each issue does not differ from its value in IW beyond the threshold value.…”

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confidence: 99%

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Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers

Mansour

Kowalczyk

2015

IEEE Trans. Cybern.

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This paper addresses the problem of flexible procurement of multiple distinct services characterized by multiple nonfunctional characteristics, i.e., quality-of-service attributes. We consider the one-to-many negotiation approach as a flexible method for procuring multiple different services by a buyer agent. We address the problem of coordinating the bidding strategy amongst multiple concurrent negotiations and propose novel dynamic negotiation strategies. The proposed strategies consider the behaviors of the opponents of the current negotiation encounter in managing the local reservation values of the common negotiation issues (attributes) of different services. Most previous works consider the problem of negotiation over a single object characterized by one or more issues. We extend our previous work and investigate a more complex situation where a buyer agent negotiates over multiple distinct services given that each service has multiple negotiation issues and multiple possible providers. The experimental results show evidence for the effectiveness and robustness of our dynamic negotiation strategies under various negotiation environments.

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers

Mansour

Kowalczyk

2015

IEEE Trans. Cybern.

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“…Another related topic is one-to-many and many-to-many negotiations [24,25,26,27,28,29,30]. One-to-many and many-to-many negotiations are concepts that address the number of parties involved in the negotiation.…”

Section: Agent-based Negotiation Teamsmentioning

confidence: 99%

Tasks for agent-based negotiation teams: Analysis, review, and challenges

Sánchez-Anguix

Julián

Botti

et al. 2013

Engineering Applications of Artificial Intelligence

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An agent-based negotiation team is a group of interdependent agents that join together as a single negotiation party due to their shared interests in the negotiation at hand. The reasons to employ an agent-based negotiation team may vary: (i) more computation and parallelization capabilities; (ii) unite agents with different expertise and skills whose joint work makes it possible to tackle complex negotiation domains; (iii) the necessity to represent different stakeholders or different preferences in the same party (e.g., organizations, countries, married couple, etc.). The topic of agent-based negotiation teams has been recently introduced in multi-agent research. Therefore, it is necessary to identify good practices, challenges, and related research that may help in advancing the state-of-the-art in agent-based negotiation teams. For that reason, in this article we review the tasks to be carried out by agent-based negotiation teams. Each task is analyzed and related with current advances in different research areas. The analysis aims to identify special challenges that may arise due to the particularities of agent-based negotiation teams.

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“…The knowledge about the preferences of the opponents can be either a domain knowledge or it can be inferred by considering the amount of concessions on each issue during negotiation. The mechanism was first proposed in [6]. This paper explains the mechanism thoroughly and presents experimental evaluation under different negotiation environments.…”

Section: Introductionmentioning

confidence: 98%

Preference Based Automated Negotiation for Service Procurement in Multi-agent Systems

Mansour

Kowalczyk

2014

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

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This paper addresses the problem of automated agent-based one-to-many negotiation for multi-issue service procurement and presents a robust negotiation mechanism to enhance the procurement process. Software agents represent service sellers and service buyers. Agents are assumed to have goals and constraints when buying and selling services. Automating the service procurement process can provide fast and efficient procurement results. The presented negotiation mechanism uses a concession tactic that facilitates service procurement from the best provider amongst multiple prospective providers. The strategy of the tactic is based on offering more concessions on the negotiation issues that are believed to be more preferred to the opponents. In other words, the tactic considers the preferences of the opponent agents on different negotiation issues (attributes) before selecting the amount of the concession on each issue. The negotiation mechanism is validated experimentally.

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A Meta-Strategy for Coordinating of One-to-Many Negotiation over Multiple Issues

Cited by 19 publications

References 12 publications

Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers

Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers

Tasks for agent-based negotiation teams: Analysis, review, and challenges

Preference Based Automated Negotiation for Service Procurement in Multi-agent Systems

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