GoalSPEC: A goal specification language supporting adaptivity and evolution (Contributo in volume (capitolo o saggio))

Type
Label
  • GoalSPEC: A goal specification language supporting adaptivity and evolution (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-45343-4_13 (literal)
Alternative label
  • Sabatucci L.; Ribino P.; Lodato C.; Lopes S.; Cossentino M. (2013)
    GoalSPEC: A goal specification language supporting adaptivity and evolution
    in Engineering Multi-Agent Systems, 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Sabatucci L.; Ribino P.; Lodato C.; Lopes S.; Cossentino M. (literal)
Pagina inizio
  • 235 (literal)
Pagina fine
  • 254 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84893040843&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Engineering Multi-Agent Systems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 8245 LNAI (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, Consiglio Nazionale Delle Ricerche, Palermo, Italy (literal)
Titolo
  • GoalSPEC: A goal specification language supporting adaptivity and evolution (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Massimo Cossentino, Amal El Fallah Seghrouchni, Michael Winikoff (literal)
Abstract
  • The characteristic of being autonomous and proactive makes the agents able to explore a wide solution space, that dynamically changes or contains uncertainty. We propose a language for describing system goals that may be injected at run-time into the system. The novelty of our approach consists in decoupling the business goals (what is expected) and their implementation (how to address the desired behavior). Indeed relieving the tension between 'what' and 'how' provides more degrees of freedom to the system. On the occurrence, agents of our system may exploit their features (mainly autonomy and proactivity, but also learning and planning) for getting benefits from a wider solution space. The result is that the system behavior may adapt to the current operating conditions. Moreover, the injection mechanism contributes to reduce the effort in evolving the system. This paper focuses on the goal specification language that is the base for enabling both adaptivity and evolution. © 2013 Springer-Verlag. (literal)
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