1,177 research outputs found

    Exploiting the Use of Cooperation in Self-Organizing Reliable Multiagent Systems

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    In this paper, a novel and cooperative approach is exploited introducing a self-organizing engine to achieve high reliability and availability in multiagent systems. The Adaptive Multiagent Systems theory is applied to design adaptive groups of agents in order to build reliable multiagent systems. According to this theory, adaptiveness is achieved via the cooperative behaviors of agents and their ability to change the communication links autonomously. In this approach, there is not a centralized control mechanism in the multiagent system and there is no need of global knowledge of the system to achieve reliability. This approach was implemented to demonstrate its performance gain in a set of experiments performed under different operating conditions. The experimental results illustrate the effectiveness of this approach

    Organization of Multi-Agent Systems: An Overview

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    In complex, open, and heterogeneous environments, agents must be able to reorganize towards the most appropriate organizations to adapt unpredictable environment changes within Multi-Agent Systems (MAS). Types of reorganization can be seen from two different levels. The individual agents level (micro-level) in which an agent changes its behaviors and interactions with other agents to adapt its local environment. And the organizational level (macro-level) in which the whole system changes it structure by adding or removing agents. This chapter is dedicated to overview different aspects of what is called MAS Organization including its motivations, paradigms, models, and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page

    Towards adaptive multi-robot systems: self-organization and self-adaptation

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    Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible

    Trusted community : a novel multiagent organisation for open distributed systems

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    SELF-ORGANIZATION AND EMERGENCE PHENOMENA IN WIKIPEDIA AND FREE SOFTWARE DEVELOPMENT USING MASOES

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    This work models Wikipedia and Free Software Development through a mul- tiagent architecture for self-organizing and emergent systems called MASOES without mathematically representing the system. In that sense, each component, mechanism and process of MASOES is instanced at individual and collective levels by the observed phenomena at the modeled systems. Thus, this paper proposes a methodology to show how to model real systems using MASOES, in order to study their self-organizing and emergent properties and, later on, to facilitate the verication of these properties, mechanisms, components and social interactions for promoting collaborative work and sharing individual and collective knowledge in these systems. Keywords : Multiagent systems, Self-Organization, Emergent Systems, Wikipedia, Free Software DevelopmentRESUMEN AUTO-ORGANIZACI 3N Y EMERGENCIA EN WIKIPEDIA Y EL DESARROLLO DEL SOFTWARE LIBRE A TRAV\uc9S DE MASOESEste trabajo modela el comportamiento de Wikipedia y el desarrollo de Software Libre, a trav\ue9s de una arquitectura multiagente para sistemas emergentes y auto- organizados llamada MASOES, sin especicar matem\ue1ticamente el sistema. En ese sentido, cada componente, mecanismo y proceso de MASOES se instancia a nivel individual y colectivo en cada uno de los sistemas modelados. As\ued, en este trabajo se propone una metodolog\ueda para mostrar como modelar sistemas reales utilizando MASOES, con el fin de estudiar sus propiedades emergentes y auto-organizadas, y posteriormente, facilitar la verificaci\uf3n de estas propiedades, mecanismos, componentes e interacciones sociales para promover el trabajo colaborativo y el intercambio del conocimiento individual y colectivo en estos sistemas. Palabras claves del autor: Sistemas Multiagente, Auto-Organizaci\uf3n, Sistemas Emergentes, Wikipedia, Desarrollo de Software Libre<br

    Auto-organización y emergencia en Wikipedia y el desarrollo del software libre a través de Masoes

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    This work models Wikipedia and Free Software Development through a multiagent architecture for self-organizing and emergent systems called MASOES without mathematically representing the system. In that sense, each component, mechanism and process of MASOES is instanced at individual and collective levels by the observed phenomena at the modeled systems. Thus, this paper proposes a methodology to show how to model real systems using MASOES, in order to study their self-organizing and emergent properties and, later on, to facilitate the verification of these properties, mechanisms, components and social interactions for promoting collaborative work and sharing individual and collective knowledge in these systems.Este trabajo modela el comportamiento de Wikipedia y el desarrollo de Software Libre, a través de una arquitectura multiagente para sistemas emergentes y auto-organizados llamada MASOES, sin especificar matemáticamente el sistema. En ese sentido, cada componente, mecanismo y proceso de MASOES se instancia a nivel individual y colectivo en cada uno de los sistemas modelados. Así, en este trabajo se propone una metodología para mostrar como modelar sistemas reales utilizando MASOES, con el fin de estudiar sus propiedades emergentes y auto-organizadas, y posteriormente, facilitar la verificación de estas propiedades, mecanismos, componentes e interacciones sociales para promover el trabajo colaborativo y el intercambio del conocimiento individual y colectivo en estos sistemas
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