Iterative Software Engineering for Multiagent Systems

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.

ISBN 3540421661   Volumes 1 ISBN13 9783540421665 (What's this?)   Weight (grammes) 960 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG   Published in Berlin Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K   Series editor Carbonell, J.G., Siekmann, J. Format Paperback   Series ISSN 1994 Publication date 30 May 2001   Series title Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Library of Congress 2001041103   Height (mm) 234 DEWEY 004.3681   Width (mm) 156 DEWEY edition DC21   Spine width (mm) 16 Pages 308   Academic level Professional / Scholarly

		Foreword
		List of Figures
		List of Process Models
1		Introduction		1
2		Agents, Multiagent Systems and Software Engineering		9
2.1		Intelligent Agents		9
2.2		Systems of Agents		15
2.3		Related Fields in Computer Science		19
2.4		Agent-Oriented Software Engineering		21
3		Basic Concepts in Software Engineering		35
3.1		Cognitive Aspects of Software Engineering		35
3.2		Requirements for Software Engineering Support		50
3.3		A General Model of Software Engineering		51
3.4		Software Engineering Product Models		53
3.5		Software Engineering Process Models		57
3.6		Quality Management of Systematic Learning		91
4		The Conceptual Framework of Massive		97
4.1		The foundations of Massive		97
4.2		Knowbbles		99
4.3		Views		101
4.4		Iterative View Engineering		114
4.5		Putting It All Together		117
5		Massive Views		121
5.1		A Brief Introduction to Train Coupling- and Sharing (TCS)		122
5.2		Environment View		125
5.3		Task View		130
5.4		Role View		138
		More...

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