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Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.

23-23 July 2004

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  • The 3rd International Joint Conference on Autonomous Agents and MultiAgent Systems 2004

    Publication Year: 2004, Page(s): 0_1
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  • Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2004 - Cover

    Publication Year: 2004, Page(s): 0_2
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    Publication Year: 2004, Page(s): 0_3
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  • Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems AAMAS 2004 - Title

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  • Copyright

    Publication Year: 2004, Page(s): 0_5
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  • Table of contents

    Publication Year: 2004, Page(s):0_6 - 0_24
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  • Preface

    Publication Year: 2004, Page(s): 0_25
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  • Acknowledgements

    Publication Year: 2004, Page(s): 1_1
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  • Conference Officials

    Publication Year: 2004, Page(s): 1_2
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  • Senior Program Committee Members

    Publication Year: 2004, Page(s): 1_3
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  • Program Committee Members

    Publication Year: 2004, Page(s):1_4 - 1_5
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  • Auxiliary reviewers

    Publication Year: 2004, Page(s): 1_6
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  • Award finalists

    Publication Year: 2004, Page(s): 1_8
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  • Multi-agent planning in complex uncertain environments

    Publication Year: 2004, Page(s): 2
    Cited by:  Papers (1)
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  • Protocol/mechanism design for cooperation/competition

    Publication Year: 2004, Page(s):3 - 7
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  • Brain meets brawn:why grid and agents need each other

    Publication Year: 2004, Page(s):8 - 15
    Cited by:  Papers (75)
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  • Knowledge, rationality and action

    Publication Year: 2004, Page(s):16 - 23
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  • Business process management: A killer app for agents?

    Publication Year: 2004, Page(s): 26
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (269 KB) | HTML iconHTML

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  • A framework to control emergent survivability of multi agent systems

    Publication Year: 2004, Page(s):28 - 35
    Cited by:  Papers (6)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (482 KB) | HTML iconHTML

    As the science of multi-agent systems matures, many developers are looking to deploy mission critical applications on distributed multi-agent systems (DMAS). Due to their distributed nature, designing survivable resource constrained DMAS is a serious challenge. Fortunately, the intrinsic flexibility of DMAS allows them to shift resources at runtime between dimensions of functionality such as secur... View full abstract»

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  • A pheromone-based utility model for collaborative foraging

    Publication Year: 2004, Page(s):36 - 43
    Cited by:  Papers (11)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (503 KB) | HTML iconHTML

    Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies?? use of pheromones as a joint communication mechanism. In this paper we propose two pheromone-based algorithms for artificial agent foraging, trail-creation, and other tasks. Whereas practically all previous work in this area has focused on bi... View full abstract»

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  • Modelling, control and validation of multi-agent plans in dynamic context

    Publication Year: 2004, Page(s):44 - 51
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (412 KB) | HTML iconHTML

    This paper proposes a multi-agent planning framework. It focuses on two fundamental aspects in dynamic context: the multi-agent plan validation and the control that takes into account the flexibility of agents behaviour. This framework is based on a dynamic management of control sets of the multi-agent plans. These control sets are pertinent constraints that enable to control and validate the mult... View full abstract»

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  • Multi-agent simulation of collaborative strategies in a supply chain

    Publication Year: 2004, Page(s):52 - 59
    Cited by:  Papers (7)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (486 KB) | HTML iconHTML

    The bullwhip effect is the amplification of the order variability in a supply chain. This phenomenon causes important financial cost due to higher inventory levels and agility reduction. In this paper, we study, for each company in a supply chain, the individual incentive to collaborate to reduce this problem. To achieve this, we simulate a supply chain inspired by the Quebec forest industry, in w... View full abstract»

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  • Towards truly agent-based traffic and mobility simulations

    Publication Year: 2004, Page(s):60 - 67
    Cited by:  Papers (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (496 KB) | HTML iconHTML

    Traveling is necessary and desirable; yet, it imposes external costs on other people. Quantitative methods help finding a balance. Multi-agent simulations seem an obvious possibility here. A real world traffic simulation consists of many modules, all requiring different expertise. The paper discusses how such modules can be coupled to a complete simulation system, how such a system can be made fas... View full abstract»

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  • Using adaptive multi-agent systems to simulate economic models

    Publication Year: 2004, Page(s):68 - 75
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (478 KB) | HTML iconHTML

    Economic markets are complex systems. They are characterized by a large and dynamic population of firms. To deal with this complexity, we propose an adaptive multiagent system which models a set of firms in competition with each other within a shared market. The firms are represented by agents; each firm is represented by an adaptive agent. We show the advantages of adaptive agents to represent fi... View full abstract»

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  • Towards a formal approach to overhearing: algorithms for conversation identification

    Publication Year: 2004, Page(s):78 - 85
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (382 KB) | HTML iconHTML

    Overhearing is gaining attention as a generic method for cooperative monitoring of distributed, open, multiagent systems. It involves monitoring the routine conversations of agents??who know they are being overheard??to assist the agents, assess their progress, or suggest advice. While there have been several investigations of applications and methods of overhearing, no formal model of overhearing... View full abstract»

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