Iterative Software Engineering for Multiagent Systems : The MASSIVE Method

The MASSIVE Method

By: JÃ¼rgen Lind

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Paperback | 1 June 2009

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308 Pages

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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.

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Foreword	p. V
List of Figures	p. XIV
List of Process Models	p. XV
Introduction	p. 1
Agents, Multiagent Systems and Software Engineering	p. 9
Intelligent Agents	p. 9
What's an Agent, anyway?	p. 9
Roles	p. 12
Architectures	p. 13
Agents, Roles and Architectures	p. 14
Systems of Agents	p. 15
Interaction	p. 16
The Social Dimension	p. 17
Related Fields in Computer Science	p. 19
Agent-Oriented Software Engineering	p. 21
Aspects of Programming Paradigms	p. 21
A Historic Perspective	p. 28
The Bottom Line	p. 30
Where Next?	p. 32
Summary	p. 33
Basic Concepts in Software Engineering	p. 35
Cognitive Aspects of Software Engineering	p. 35
Basic Human Information Processing	p. 36
Software Engineering as a General Design Task	p. 38
Designs and Models	p. 40
A General Model of Engineering	p. 41
The Basic Engineering Cycle	p. 43
Basic Skills in Software Engineering	p. 46
Requirements for Software Engineering Support	p. 50
AGeneral Model of Software Engineering	p. 51
Software Engineering Product Models	p. 53
AGeneric Product Model	p. 54
Software Blueprints: The Unified Modeling Language	p. 55
Software Engineering Process Models	p. 57
Classical Process Models	p. 58
Novel Trends in Software Engineering	p. 67
Development Methods for Multiagent Systems	p. 78
Discussion	p. 91
Quality Management and Systematic Learning	p. 91
The Quality Improvement Paradigm	p. 92
Experience Factory	p. 92
Summary	p. 95
The Conceptual Framework of Massive	p. 97
The Foundations of Massive	p. 97
Knowbbles	p. 99
Views	p. 101
What and Why?	p. 102
View-Oriented Analysis	p. 106
A View System for Multiagent Systems	p. 108
Iterative View Engineering	p. 114
Putting It All Together	p. 117
Summary	p. 120
Massive Views	p. 121
A Brief Introduction to Train Coupling- and Sharing (TCS)	p. 122
Environment View	p. 125
Developers Perspective	p. 125
Systems Perspective	p. 129
Task View	p. 130
Use Case Analysis	p. 130
Functional Requirements	p. 131
Non functional Requirements	p. 138
Role View	p. 138
Role Definition	p. 139
Role Assignment	p. 144
Interaction View	p. 144
Intent Layer	p. 145
Protocol Layer	p. 148
Transport Layer	p. 165
Society View	p. 167
Characterization of Social Systems	p. 167
Designing Social Systems	p. 169
Architecture View	p. 174
System Architecture	p. 175
The Architectural Feature Space	p. 177
Agent Architecture	p. 184
System View	p. 190
User Interface Design	p. 190
Exception Handling	p. 194
Performance Engineering	p. 196
Deployment	p. 201
Summary	p. 203
Further Case Studies	p. 205
The Teamwork Library	p. 205
Environment View	p. 205
Task View	p. 206
Role View	p. 208
Interaction View	p. 210
Society View	p. 214
ArchitectureView	p. 214
System View	p. 217
Personal Travel Assistant: Intermodal Route Planning	p. 219
EnvironmentView	p. 220
Task View	p. 222
Role View	p. 226
Interaction View	p. 228
Society View	p. 231
Architecture View	p. 231
System View	p. 234
Summary	p. 241
Conclusion	p. 243
Toolkits for Agent-Based Applications	p. 247
SIF	p. 247
ZEUS	p. 251
Swarm	p. 253
Summary	p. 254
Basic Problem Solving Capabilities of TCS Agents	p. 255
Planing Algorithm for a Single Task	p. 255
Plan Integration Operator	p. 256
Decision Functions	p. 259
Plan Execution Simulation	p. 259
Protoz Specification of the Contract-Net Protocol	p. 261
Bibliography	p. 265
Glossary	p. 281
Index	p. 283
Table of Contents provided by Publisher. All Rights Reserved.

Iterative Software Engineering for Multiagent Systems : The MASSIVE Method

The MASSIVE Method

At a Glance

Paperback

Shipping

How to return your order

Defective items

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