Table of contents

  1. Front Matter
    Pages i-xviii
  2. Norbert Glaser
    Pages 1-6
  3. Norbert Glaser
    Pages 177-214
  4. Norbert Glaser
    Pages 215-221
  5. Back Matter
    Pages 223-265

About this book


Conceptual Modelling of Multi-Agent Systems proposes the methodology and engineering environment CoMoMAS for the development of multi-agent systems. CoMoMAS is among the most elaborated and most often cited multi-agent development approaches available in the field. Its originality is to address the issue of the development of multi-agent systems (MAS) from a knowledge engineering perspective, which means that agents are seen as interacting entities having different kinds of knowledge, which is to be identified during development. Knowledge has played an important role for MAS development in the past, but CoMoMAS makes a step further in proposing a complete set of conceptual models and a solid methodology to guide the overall development process of a MAS-from design to validation.
Conceptual Modelling of Multi-Agent Systems is an excellent reference for both researchers and practitioners in the broad area of distributed systems development. This book is of particular value from the point of view of computer science, including knowledge engineering, artificial intelligence, agent and multi-agent technology, and software engineering.


agents artificial intelligence computer science design development distributed systems intelligence knowledge knowledge engineering modeling multi-agent system multi-agent systems software software engineering validation

Bibliographic information

  • Book Title Conceptual Modelling of Multi-Agent Systems
  • Book Subtitle The CoMoMAS Engineering Environment
  • Authors Norbert Glaser
  • Series Title Multiagent Systems, Artificial Societies, and Simulated Organizations
  • DOI
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-1-4020-7061-7
  • Softcover ISBN 978-1-4613-5331-7
  • eBook ISBN 978-1-4615-0973-8
  • Series ISSN 1568-2617
  • Edition Number 1
  • Number of Pages XVIII, 265
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Software Engineering/Programming and Operating Systems
  • Buy this book on publisher's site
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