808 research outputs found

    SOLACE: A framework for electronic negotiations

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    Copyright @ 2011 Walter de Gruyter GmbHMost existing frameworks for electronic negotiations today are tied to specific negotiation systems for which they were developed, preventing them from being applied to other negotiation scenarios. Thus, the evaluation of electronic negotiation systems is difficult as each one is based on a different framework. Additionally, each developer has to design a new framework for any system to be developed, leading to a ‘reinvention of the wheel’. This paper presents SOLACE—a generic framework for multi-issue negotiations, which can be applied to a variety of negotiation scenarios. In contrast with other frameworks for electronic negotiations, SOLACE supports hybrid systems in which the negotiation participants can be humans, agents or a combination of the two. By recognizing the importance of strategies in negotiations and incorporating a time attribute in negotiation proposals, SOLACE enhances existing approaches and provides a foundation for the flexible electronic negotiation systems of the future

    KEMNAD: A Knowledge Engineering Methodology for Negotiating Agent Development

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    Automated negotiation is widely applied in various domains. However, the development of such systems is a complex knowledge and software engineering task. So, a methodology there will be helpful. Unfortunately, none of existing methodologies can offer sufficient, detailed support for such system development. To remove this limitation, this paper develops a new methodology made up of: (1) a generic framework (architectural pattern) for the main task, and (2) a library of modular and reusable design pattern (templates) of subtasks. Thus, it is much easier to build a negotiating agent by assembling these standardised components rather than reinventing the wheel each time. Moreover, since these patterns are identified from a wide variety of existing negotiating agents(especially high impact ones), they can also improve the quality of the final systems developed. In addition, our methodology reveals what types of domain knowledge need to be input into the negotiating agents. This in turn provides a basis for developing techniques to acquire the domain knowledge from human users. This is important because negotiation agents act faithfully on the behalf of their human users and thus the relevant domain knowledge must be acquired from the human users. Finally, our methodology is validated with one high impact system

    Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces

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    Negotiating contracts with multiple interdependent issues may yield non- monotonic, highly uncorrelated preference spaces for the participating agents. These scenarios are specially challenging because the complexity of the agents’ utility functions makes traditional negotiation mechanisms not applicable. There is a number of recent research lines addressing complex negotiations in uncorrelated utility spaces. However, most of them focus on overcoming the problems imposed by the complexity of the scenario, without analyzing the potential consequences of the strategic behavior of the negotiating agents in the models they propose. Analyzing the dynamics of the negotiation process when agents with different strategies interact is necessary to apply these models to real, competitive environments. Specially problematic are high price of anarchy situations, which imply that individual rationality drives the agents towards strategies which yield low individual and social welfares. In scenarios involving highly uncorrelated utility spaces, “low social welfare” usually means that the negotiations fail, and therefore high price of anarchy situations should be avoided in the negotiation mechanisms. In our previous work, we proposed an auction-based negotiation model designed for negotiations about complex contracts when highly uncorrelated, constraint-based utility spaces are involved. This paper performs a strategy analysis of this model, revealing that the approach raises stability concerns, leading to situations with a high (or even infinite) price of anarchy. In addition, a set of techniques to solve this problem are proposed, and an experimental evaluation is performed to validate the adequacy of the proposed approaches to improve the strategic stability of the negotiation process. Finally, incentive-compatibility of the model is studied.Spain. Ministerio de Educación y Ciencia (grant TIN2008-06739-C04-04

    The Semantic Grid: A future e-Science infrastructure

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    e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practice–aspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid

    Мультиагентне моделювання послідовних багатоелементних японських аукціонів

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    Досліджуються особливості моделювання аукціонів з точки зору імітаційного (мультиагентного) моделювання. Наводиться характеристика аукціонів як об’єкта моделювання. Виконується постановка задачі та пропонується метод побудови механізму проведення послідовних багатоелементних японських аукціонів, який забезпечує використання агентами домінуючих стратегій та дозволяє побудувати оптимальний аукціон. Експериментально підтверджується ефективність запропонованого метода.Исследуются особенности моделирования аукционов с точки зрения имитационного (мультиагентного) моделирования. Приводится характеристика аукционов как объекта моделирования. Выполняется постановка задачи и предлагается метод построения механизма проведения последовательных многоэлементных японских аукционов, который обеспечивает использование агентами доминирующих стратегий и позволяет построить оптимальный аукцион. Экспериментально подтверждается эффективность предложенного метода.Features of modeling of auctions are investigated from the point of view of simulation (multiagent) modeling. The characteristic of auctions as object of modeling is resulted. Statement of a task carries out and the method of construction of the mechanism of carrying out of sequential multiunit japanese auctions, which provides use by agents of dominant strategies is offered and allows to construct optimal auction. Efficiency of the suggested method experimentally proves to be true

    Merchant differentiation through integrative negotiation in agent-mediated electronic commerce

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    Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1998.Includes bibliographical references (p. [149]-153).This thesis proposes to fix online shopping by guiding it away from price comparisons and toward value comparisons. Though price comparisons may be adequate for simple products (e.g., books and music), they are inadequate for facilitating transactions of complex products (e.g., computers and automobiles). Consumers often must consider qualities other than price in their buying decisions and merchants usually prefer to differentiate themselves along alternative dimensions such as brand, customer service, delivery time, warranty, and other value-added services. Tete-a-Tete is an agent-mediated comparison shopping system that allows consumers to consider dimensions other than price in their buying decisions for complex products. The system helps shoppers answer two questions: what to buy and who to buy from. Tete-a- Tete's integrative negotiation interaction model (based on bilateral argumentation), together with a decision support module (based on multi-attribute utility theory), create an improved online shopping environment for both consumers and merchants. Consumers gain increased satisfaction as their search costs for complex products are reduced and merchants potentially increase sales as a result of their enhanced differentiation in the marketplace.Robert H. Guttman.S.M

    Software Agents for Electronic Marketplaces: Current and Future Research Directions

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    The premise of software agents to define the structural and operational models of the virtual marketplace of the future can account for the increased interest regarding their application in areas where they can add substantial value in terms of automation and functionality. At the heart of such a marketplace rests an ontology modeling the domain upon which a nucleus of agent-based services can be constructed. Negotiation services hold the dominant position in terms of the attention they have received in research. Complementary to them, but no less important, are the advising services representing support functionality that is required throughout the cycle of a deal; from the expressed intention of the two parties to eventual maturity and closure. In this paper we focus on research trends and on their possible future development for ontologies and the above service categories emphasizing on the role of software agents in this context. A review and analysis of past and present works helps to formulate sets of questions that future research will seek to address
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