Iterative Software Engineering for Multiagent Systems : The MASSIVE Method

Jürgen Lind

ISBN 10: 3540421661 / ISBN 13: 9783540421665

Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2001

About this Item

Neuware - The agent metaphor and the agent-based approach to systems design constitute a promising new paradigm for building complex distributed systems. However, until now, the majority of the agent-based applications available have been built by researchers who specialize in agent-based computing and distributed artificial intelligence. If agent-based computing is to become anything more than a niche technology practiced by the few, then the base of people who can successfully apply the approach needs to be broadened dramatically. A major step in this broadening endeavor is the development of methodologies for agent-oriented software engineering accessible to and attractive for professional software engineers in their daily work. Against this background, this book presents one of the first coherent attempts to develop such a methodology for a broad class of agent-based systems. The author provides a clear introduction to the key issues in the field ofagent-oriented software engineering.

Seller Inventory # 9783540421665

Bibliographic Details

• Title: Iterative Software Engineering for Multiagent Systems : The MASSIVE Method
• Publisher: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Publication Date: 2001
• Language: English
• ISBN 10: 3540421661
• ISBN 13: 9783540421665
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 188H x 35D millimeters 235 millimeters width by 188 millimeters height by 35 millimeters depth
• Weight: 482 grams

About this title

Synopsis

The agent metaphor and the agent-based approach to systems design constitute a promising new paradigm for building complex distributed systems. However, until now, the majority of the agent-based applications available have been built by researchers who specialize in agent-based computing and distributed artificial intelligence. If agent-based computing is to become anything more than a niche technology practiced by the few, then the base of people who can successfully apply the approach needs to be broadened dramatically. A major step in this broadening endeavor is the development of methodologies for agent-oriented software engineering accessible to and attractive for professional software engineers in their daily work. Against this background, this book presents one of the first coherent attempts to develop such a methodology for a broad class of agent-based systems. The author provides a clear introduction to the key issues in the field of agent-oriented software engineering.