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Titlebook: Engineering Environment-Mediated Multi-Agent Systems; International Worksh Danny Weyns,Sven A. Brueckner,Yves Demazeau Conference proceedin

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0302-9743 itate the coordination of a community of agents. Since environment-mediation in multi-agent systems has shown to result in mana- able solutions with very adapta978-3-540-85028-1978-3-540-85029-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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A Characterization of Key Properties of Environment-Mediated Multiagent Systemsvironmental requirements has led to several research initiatives with the objective to create new concepts for the design and operation of environment-mediated multiagent systems. In particular, Autonomic Computing (AC) and Organic Computing (OC) have developed the vision of systems possessing life-
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Toward Systemic MAS Development: Enforcing Decentralized Self–organization by Composition and Refineed coordination of individual actors. . development approaches have been established, which reuse decentralized coordination mechanisms that are derived from natural self–organizing systems. In this paper, we address analysis activities in incremental MAS development, concerning with the derivation
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Engineering Autonomic Electronic Institutions distributed, open, and dynamic scenarios. Unfortunately,there is a lack of frameworks that support the intricate task of developing self-* systems. We try to make headway along this direction by introducing a framework, EIDE-*, to support the engineering of a particular type of self-* systems, name
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Combining Interface Agents and Situated Agents for Deploying Adaptive Web Applicationsuated agents associated to visitors of the web site (user agents) are positioned and moved in order to monitor their navigation. This paper presents a heterogeneous multi-agent system supporting the collection of information related to user’s behaviour in a web site by specific situated reactive use
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Situating Cognitive Agents in GOLEMmplex structure contains the interaction between two main classes of entities: . and .. Interactions between these entities are specified in term of . whose occurrence is governed by a set of . specifying the possible evolutions of the agent environment, including how these evolutions are perceived
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