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      Coordination models and languages: from parallel computing to self-organisation

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      The Knowledge Engineering Review

      Cambridge University Press (CUP)

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          Abstract

          Starting from the pioneering work on L inda and Gamma, coordination models and languages have gone through an amazing evolution process over the years. From closed to open systems, from parallel computing to multi-agent systems and from database integration to knowledge-intensive environments, coordination abstractions and technologies have gained in relevance and power in those scenarios where complexity has become a key factor. In this paper, we outline and motivate 25 years of evolution of coordination models and languages, and discuss their potential perspectives in the future of artificial systems.

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          Most cited references 24

          • Record: found
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          La reconstruction du nid et les coordinations interindividuelles chezBellicositermes natalensis etCubitermes sp. la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeurs

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            • Record: found
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            Generative communication in Linda

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              • Record: found
              • Abstract: not found
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              The chemical abstract machine

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                Author and article information

                Journal
                The Knowledge Engineering Review
                The Knowledge Engineering Review
                Cambridge University Press (CUP)
                0269-8889
                1469-8005
                February 07 2011
                February 07 2011
                : 26
                : 1
                : 53-59
                Article
                10.1017/S026988891000041X
                © 2011

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