Personnaliser

OK

Field-Based Coordination for Pervasive Multiagent Systems - Mamei, Marco

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre

136,34 €

Occasion · Comme Neuf

  • Ou 34,09 € /mois

    • Livraison : 25,00 €
    • Livré entre le 9 et le 18 mai
    Voir les modes de livraison

    USAMedia

    PRO Vendeur favori

    4,6/5 sur + de 1 000 ventes

    Service client à l'écoute et une politique de retour sans tracas - Livraison des USA en 3 a 4 semaines (2 mois si circonstances exceptionnelles) - La plupart de nos titres sont en anglais, sauf indication contraire. N'hésitez pas à nous envoyer un e-... Voir plus
    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    Retour

    Horaires

        Note :


        Avis sur Field - Based Coordination For Pervasive Multiagent Systems de Mamei, Marco Format Broché  - Livre Informatique

        Note : 0 0 avis sur Field - Based Coordination For Pervasive Multiagent Systems de Mamei, Marco Format Broché  - Livre Informatique

        Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


        Présentation Field - Based Coordination For Pervasive Multiagent Systems de Mamei, Marco Format Broché

         - Livre Informatique

        Livre Informatique - Mamei, Marco - 01/10/2010 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Mamei, Marco - Zambonelli, Franco
      • Editeur : Springer-Verlag Gmbh
      • Langue : Anglais
      • Parution : 01/10/2010
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 256
      • Expédition : 394
      • Dimensions : 23.5 x 15.5 x 1.5
      • ISBN : 3642066232



      • Résumé :
        More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and development, capable of supporting spontaneous configuration, tolerating partial failures, or arranging adaptive reorganization of the whole system. Inspired by the behaviour of complex natural systems, scientists and engineers have started to adjust their mechanisms and techniques for self-organization and adaption to changing environments. In line with these considerations, Mamei and Zambonelli propose an interaction model inspired by the way masses and particles in our universe move and self-organize according to contextual information represented by gravitational and electromagnetic fields. The key idea is to have the components? actions driven by computational force fields, generated by the components themselves or by some infrastructures, and propagated across the environment. Together with its supporting middleware infrastructure ? available with additional information under http://www.agentgroup.unimore.it ? this model can serve as the basis for a general purpose and widely applicable approach for the design and development of adaptive distributed applications.

        Biographie:
        Marco Mamei is research associate at the University of Modena and Reggio Emilia, where he received the PhD in computer science in 2004. His current research interests include distributed and pervasive computing, swarm intelligence, and multiagent systems. He is a member of the IEEE, AIIA and TABOO.Franco Zambonelli is professor in Computer Science at the University of Modena and Reggio Emilia since 2001. He obtained the Laurea degree in Electronic Engineering in 1992, and the PhD in Computer Science in 1997, both from the University of Bologna. His current research interests include: distributed and pervasive computing, agent-oriented software engineering, self-organization in distributed systems engineering. In these areas, he has published over 120 papers in international fora, co-edited 7 books, received several best paper awards, and has been invited speaker and tutorialist in several international conferences and workshops. He is a member of IEEE, ACM, AIIA, and TABOO.

        Sommaire:
        Marco Mamei is research associate at the University of Modena and Reggio Emilia, where he received the PhD in computer science in 2004. His current research interests include distributed and pervasive computing, swarm intelligence, and multiagent systems. He is a member of the IEEE, AIIA and TABOO. Franco Zambonelli is professor in Computer Science at the University of Modena and Reggio Emilia since 2001. He obtained the Laurea degree in Electronic Engineering in 1992, and the PhD in Computer Science in 1997, both from the University of Bologna. His current research interests include: distributed and pervasive computing, agent-oriented software engineering, self-organization in distributed systems engineering. In these areas, he has published over 120 papers in international fora, co-edited 7 books, received several best paper awards, and has been invited speaker and tutorialist in several international conferences and workshops. He is a member of IEEE, ACM, AIIA, and TABOO....

        Détails de conformité du produit

        Consulter les détails de conformité de ce produit (

        Personne responsable dans l'UE

        )
        Le choixNeuf et occasion
        Minimum5% remboursés
        La sécuritéSatisfait ou remboursé
        Le service clientsÀ votre écoute
        LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
        visavisa
        mastercardmastercard
        klarnaklarna
        paypalpaypal
        floafloa
        americanexpressamericanexpress
        Rakuten Logo
        • Rakuten Kobo
        • Rakuten TV
        • Rakuten Viber
        • Rakuten Viki
        • Plus de services
        • À propos de Rakuten
        Rakuten.com