An agenda-based framework for multi-issue negotiation

Fatima, Shaheen; Wooldridge, Michael; Jennings, Nicholas R.

doi:10.1016/s0004-3702(03)00115-2

Cited by 298 publications

(158 citation statements)

References 19 publications

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“…In the computational literature, (Fatima, Wooldridge, and Nicholas R. Jennings 2004a) and (Fatima, Wooldridge, and Jennings 2004b)propose an agenda-based framework for multi-attribute negotiation. In their framework, the agents can propose either a combined offer on multiple issues or a single offer on one issue.…”

Section: Procedures For Multi-issue Negotiationmentioning

confidence: 99%

Agent Reasoning in Negotiation

Sycara

Dai

2010

Advances in Group Decision and Negotiation

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Negotiation has been studied in different communities both scientific and communities of practice. The social sciences and the mathematical sciences have investigated different aspects of negotiation with different goals: the goals of the social sciences are to understand the factors and reasoning processes that underlie human negotiation behavior. The goal of the mathematical sciences is to formulate mathematical models that capture elements of negotiation. Further, the mathematical models can be divided into analytic models (economic, operations research etc) and computational models. The aim of the analytic models is to provide guarantees of their behavior, characterizations of optimality, or provide managerial guidance to optimize negotiation activity. The computational models aim to provide computational tractability through approximation algorithms and heuristics. Most crucially, the computational research aims to have the models implemented in autonomous processes, called agents, that are able to incorporate realistic factors of negotiation (e.g. argumentation, information seeking, and cognitive factors) and engage in negotiations in a decentralized manner. Such agent models promise to contribute to our understanding of human information processing in negotiation. Additionally, they could be used for decision support of human decision makers. In the long run, such models can even become substitutes for human negotiators. In this chapter we will provide a selective review of the most important works in the analytic and computational negotiation literature, point out some differences and synergies and provide pointers to open questions and future research.

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Section: Procedures For Multi-issue Negotiationmentioning

confidence: 99%

Agent Reasoning in Negotiation

Sycara

Dai

2010

Advances in Group Decision and Negotiation

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“…In the context of the SQP, [1] takes the set of issues to be negotiated as given and provides an analysis of the role of information and time preferences on the equilibrium, while [4,5] has dealt with taking the set of issues to be negotiated as given and finding an optimal ordering for the given set. But as the example outlined in the Introduction illustrates, the set of issues to be negotiated themselves are often choice variables (i.e., what issues to negotiate can be chosen by a negotiator) whose ultimate configuration can have decisive effects on the negotiation outcome [14].…”

Section: Related Literaturementioning

confidence: 99%

“…Although the importance of agendas has been recognized [7,11], most existing work has taken the agenda as given and then analyzed the outcome for different procedures [8,5,6]. But as the above example illustrates, the set of issues to be negotiated themselves are often choice variables (i.e., what issues to negotiate can be chosen by a negotiator) whose ultimate configuration can have decisive effects on the negotiation outcome [14].…”

Section: Introductionmentioning

confidence: 99%

Optimal agendas for multi-issue negotiation

Fatima

Wooldridge

Jennings

2003

Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems

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Abstract. This paper analyzes bilateral multi-issue negotiation where the issues are divisible, there are time constraints in the form of deadlines and discount factors, and the agents have different preferences over the issues. The issues are negotiated using the package deal procedure. The set of issues to be negotiated is a choice variable in that the agents can decide what issues to negotiate. This set is called the negotiation agenda. Since the outcome of negotiation depends on the agenda, it is important to determine what agenda maximizes an agent's utility and is therefore its optimal agenda. To this end, this paper presents polynomial time methods for finding an agent's optimal agenda.

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“…In this paper, we propose a multi-issue automated negotiation [8,9,12] protocol where the owner of the website (the business) can offer a certain level of service (e.g. 10% discount, free delivery) in exchange for information about the user (the customer).…”

Section: Introductionmentioning

confidence: 99%

Negotiating Exchanges of P3p‐Labeled Information for Compensation

Buffett

Jia

Liu

et al. 2004

Computational Intelligence

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Abstract. We consider private information a commodity, of value to both the information holder and the information seeker. Hence, a customer can be enticed to trade his/her private information with a business in exchange for compensation. In this paper we propose to apply utility theory to allow each participant to express the value they place on each private datum and, separately, on combinations of data. The PrivacyPact protocol transmits messages that are comprised of possible exchanges. Each participant is prevented from making offers that necessarily have lower utility for the other partner than previous ones. The protocol is complete in that if an exchange exists that is acceptable to both, it will be found as long as neither partner exits the negotiation early. While the space of possible offers grows exponentially on the number of negotiable items, experimentation with simple strategies indicates that negotiations can converge relatively quickly.

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An agenda-based framework for multi-issue negotiation

Cited by 298 publications

References 19 publications

Agent Reasoning in Negotiation

Agent Reasoning in Negotiation

Optimal agendas for multi-issue negotiation

Negotiating Exchanges of P3p‐Labeled Information for Compensation

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