Conceptual Modelling of Multi-Agent Systems | The CoMoMAS Engineering Environment

Norbert Glaser

ISBN 10: 1402070616 / ISBN 13: 9781402070617

Published by Springer US, 2002

About this Item

Conceptual Modelling of Multi-Agent Systems | The CoMoMAS Engineering Environment | Norbert Glaser | Buch | xviii | Englisch | 2002 | Springer US | EAN 9781402070617 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 103065167

Bibliographic Details

• Title: Conceptual Modelling of Multi-Agent Systems | The CoMoMAS Engineering Environment
• Publisher: Springer US
• Publication Date: 2002
• Language: English
• ISBN 10: 1402070616
• ISBN 13: 9781402070617
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 21D millimeters 241 millimeters width by 160 millimeters height by 21 millimeters depth
• Weight: 600 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.