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 co-herent 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 as well as a comprehensive overview of the state of the art. The core contribution is the presentation and application-based evalua-tion of the MASSIVE methodology for iterative multiagent system engineering. The bookwill serve as a valuable source of reference for R&D pro-fessionals active in agent-based computing as well as a gentle and systems development and anced students.
作者簡(jiǎn)介
暫缺《多代理系統(tǒng)用迭代軟件工程》作者簡(jiǎn)介
圖書目錄
Foreword List of Figures List of Process Models 1.Introduction 2.Agents, Multiagent Systems and Software Engineering 2.1 Intelligent Agents 2.1.1 What's an Agent, anyway? 2.1.2 Roles 2.1.3 Architectures 2.1.4 Agents, Roles and Architectures 2.2 Systems of Agents 2.2.1 Interaction 2.2.2 The Social Dimension 2.3 Related Fields in Computer Science 2.4 Agent-Oriented Software Engineering 2.4.1 Aspects of programming paradigms 2.4.2 A Historic Perspective 2.4.3 The bottom line 2.4.4 Where next? 2.5 Summary 3.Basic Concepts in Software Engineering 3.1 Cognitive Aspects of Software Engineering 3.1.1 Basic Human Information Processing 3.1.2 Software Engineering as a General Design Task 3.1.3 Designs and Models 3.1.4 A General Model of Engineering 3.1.5 The Basic Engineering Cycle 3.1.6 Basic Skills in Software Engineering 3.2 Requirements for Software Engineering Support 3.3 A General Model of Software Engineering 3.4 Software Engineering Product Models 3.4.1 A Generic Product Model 3.4.2 Software Blueprints: The Unified Modeling Language 3.5 Software Engineering Process Models 3.5.1 Classical Process Models 3.5.2 Novel Trends in Software Engineering 3.5.3 Development Methods for Multiagent Systems 3.5.4 Discussion 3.6 Quality Management and Systematic Learning 3.6.1 The Quality Improvement Paradigm 3.6.2 Experience Factory 3.7 Summary 4.The Conceptual Framework of MASSIVE 4.1 The foundations of MASSIVE 4.2 Knowbbles 4.3 Views 4.3.1 What and Why? 4.3.2 View-oriented Analysis 4.3.3 A View System for Multiagent Systems 4.4 Iterative View Engineering 4.5 Putting It All Together 4.6 Summary 5.MASSIVE Views 5.1 A Brief Introduction to Train Coupling- and Sharing (TCS) 5.2 Environment View 5.2.1 Developers Perspective 5.2.2 Systems Perspective 5.3 Task View 5.3.1 Use Case Analysis 5.3.2 Functional Requirements 5.3.3 Nonfunctional Requirements 5.4 Role View 5.4.1 Role Definition 5.4.2 Role Assignment 5.5 Interaction View 5.5.1 Intent Layer 5.5.2 Protocol Layer 5.5.3 Transport Layer 5.6 Society View 5.6.1 Characterization of Social Systems 5.6.2 Designing Social Systems 5.7 Architecture View …… 6.Further Case Studies 7.Conclusion A.Toolkits for Agent-Aased Bpplications B.Basic Problem Solving Capabilities of TCS Agents C.Protoz Specification of the Contract-Net Protocol Bibliography Glossary Index
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