text.skipToContent text.skipToNavigation
background-image

ANEMONA A Multi-agent Methodology for Holonic Manufacturing Systems von Botti, Vicente (eBook)

  • Erscheinungsdatum: 28.06.2008
  • Verlag: Springer-Verlag
eBook (PDF)
130,89 €
inkl. gesetzl. MwSt.
Sofort per Download lieferbar

Online verfügbar

ANEMONA

ANEMONA is a multi-agent system (MAS) methodology for holonic manufacturing system (HMS) analysis and design. ANEMONA defines a mixed top-down and bottom-up development process, and provides HMS-specific guidelines to help designers identify and implement holons. The analysis phase is defined in two stages: System Requirements Analysis, and Holon Identification and Specification. This analysis provides high-level HMS specifications, adopting a top-down recursive approach which provides a set of elementary elements and assembling rules. The next stage is Holon Design, a bottom-up process to produce the system architecture from the analysis models. The Holons Implementation stage produces an Executable Code for the SetUp and Configuration stage. Finally, maintenances functions are executed in the Operation and Maintenance stage. The book will be of interest to researchers and students involved in artificial intelligence and software engineering, and manufacturing engineers in industry and academia. Vicente Botti is head of the Group de Tecnologia Informatica - Inteligencia Artificial (GTI-IA) at the Universidad Politécnica de Valencia. His research interests are real-time artificial intelligence and multiagent systems. Adriana Giret has a PhD in Computer Science and lectures at the Universidad de Valencia, where she works within the Departamento de Sistemas Informaticos y Computacion. Her research interests are multiagent systems; holonic manufacturing systems; and agent-supported simulation for manufacturing systems.

Produktinformationen

    Format: PDF
    Kopierschutz: AdobeDRM
    Seitenzahl: 214
    Erscheinungsdatum: 28.06.2008
    Sprache: Englisch
    ISBN: 9781848003101
    Verlag: Springer-Verlag
    Größe: 2510 kBytes
Weiterlesen weniger lesen

Kundenbewertungen