The First Automated Negotiating Agents Competition (ANAC 2010)

Baarslag, Tim; Hindriks, Koen V.; Jonker, Catholijn M.; Kraus, Sarit; Lin, Raz

doi:10.1007/978-3-642-24696-8_7

Cited by 74 publications

(79 citation statements)

References 19 publications

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“…The genetic algorithm approach mainly treats the negotiation strategy optimization as a search problem in which the parameters of a small set of strategies are tuned by a genetic algorithm. We analyze a more complex space of newly developed negotiation strategies in our approach, as our pool of surveyed negotiation strategies consists of strategies introduced in the ANAC competition [3,8], as well as the strategies discussed by Faratin et al [18]. Furthermore, each strategy consists of components that can have parameters themselves.…”

Section: Negotiation Strategy Space Explorationmentioning

confidence: 99%

“…We employ the same negotiation environment as in [3,8,31]; that is, we consider bilateral automated negotiations, where the interaction between the two negotiating parties is regulated by the alternating-offers protocol [35]. The agents negotiate over a set of issues, as defined by the negotiation domain, which holds the information of possible bids, negotiation constraints, and the discount factor.…”

Section: Negotiation Environmentmentioning

confidence: 99%

“…There is now a large body of negotiation strategies available, and with the emergence of the International Automated Negotiating Agents Competition (ANAC) [3,8], new strategies are generated on a yearly basis.…”

Section: Introductionmentioning

confidence: 99%

“…While methods exist to determine the best negotiation agent given a set of agents [3,8], we still do not know which type of agent is most effective in general, and especially why. It is impossible to exhaustively search the large (in fact, infinite) space of negotiation strategies; therefore, there is a need for a systematic way of searching this space for effective candidates.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

Baarslag

Hindriks

Hendrikx

et al. 2014

Novel Insights in Agent-Based Complex Automated Negotiation

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Abstract. Every year, automated negotiation agents are improving on various domains. However, given a set of negotiation agents, current methods allow to determine which strategy is best in terms of utility, but not so much the reason of success. In order to study the performance of the individual elements of a negotiation strategy, we introduce an architecture that distinguishes three components which together constitute a negotiation strategy: the bidding strategy, the opponent model, and the acceptance condition. Our contribution to the field of bilateral negotiation is threefold: first, we show that existing state of the art agents are compatible with this architecture; second, as an application of our architecture, we systematically explore the space of possible strategies by recombining different strategy components; finally, we briefly review how the BOA architecture has been recently applied to evaluate the performance of strategy components and create novel negotiation strategies that outperform the state of the art.

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Section: Negotiation Strategy Space Explorationmentioning

confidence: 99%

Section: Negotiation Environmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

Baarslag

Hindriks

Hendrikx

et al. 2014

Novel Insights in Agent-Based Complex Automated Negotiation

Self Cite

View full text Add to dashboard Cite

show abstract

“…Seven teams had participated and three domains were used. AgentK generated by the Nagoya Institute of Technology team won the ANAC 2010 [2]. The Second Automated Negotiating Agents Competition (ANAC 2011) was held in May 2011, with the AAMAS 2011 conference.…”

Section: Introductionmentioning

confidence: 99%

The Sixth Automated Negotiating Agents Competition (ANAC 2015)

Fujita

Aydoğan

Baarslag

et al. 2017

Modern Approaches to Agent-Based Complex Automated Negotiation

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In May 2015, we organized the Sixth International Automated Negotiating Agents Competition (ANAC 2015) in conjunction with AAMAS 2015. ANAC is an international competition that challenges researchers to develop a successful automated negotiator for scenarios where there is incomplete information about the opponent. One of the goals of this competition is to help steer the research in the area of multi-issue negotiations, and to encourage the design of generic negotiating agents that are able to operate in a variety of scenarios. 24 teams from 9 different institutes competed in ANAC 2015. This chapter describes the participating agents and the setup of the tournament, including the different negotiation scenarios that were used in the competition. We report on the results of the qualifying and final round of the tournament.

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A negotiation framework for the cloud using rough set theory‐based preference prediction

Malouche

Halima

Ghézala

2022

Concurrency and Computation

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Summary In recent years, cloud computing has become a priority for organizations that seek to facilitate the management of their increasingly complex information systems (IS) that includes different components: data, services, business processes and hardware. With the large number of cloud providers, the selection of cloud services for each IS component remains a challenge because each one has its own requirements in terms of quality of service which may be different from each other. Cloud providers preferences are generally different from those of organizations, hence the need for a negotiation process. In this article, we propose a framework on which the negotiations between organizations and cloud providers will be based. In this framework, we use rough set theory to predict provider preferences. This method plays an important role in improving the results of negotiations and allows to speed up this process since the preferences of the providers will be known. Additionally, we propose an improvement to an existing negotiation strategy in order to further speed up negotiation process and increase organization utility. Experiments show the effectiveness of our approach in terms of utility, time and success rate.

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The First Automated Negotiating Agents Competition (ANAC 2010)

Cited by 74 publications

References 19 publications

Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies

The Sixth Automated Negotiating Agents Competition (ANAC 2015)

A negotiation framework for the cloud using rough set theory‐based preference prediction

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