Convergence and Knowledge Processing in Multi-Agent Systems

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Springer Science & Business Media, May 20, 2009 - Computers - 143 pages
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Agent systems are being used to model complex systems like societies, markets and biological systems. In this book we investigate issues of agent systems related to convergence and interactivity using techniques from agent based modelling to simulate complex systems, and demonstrate that interactivity/exchange and convergence in multi-agent systems are issues that are significantly interrelated.

Topic and features: - Introduces the state of the art in multi-agent systems, with an emphasis on agent-based computational economics. - Sheds light on the fundamental concepts behind the stability of multi-agent systems. - Investigates knowledge exchange among agents, the rationale behind it and its effects on the ecosystem. - Explores how information provided through interaction with the system can be used to optimise its performance. - Describes a pricing strategy for a realistic large-scale distributed system.

This book supplies a comprehensive resource and will be invaluable reading for researchers and postgraduates studying this topic.

 

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Contents

Introduction
1
11 Background to the Research
2
13 Contributions
3
14 Readers Guide to the Book
4
Research Issues
5
22 Agentbased Modelling
6
23 An Ecosystem Perspective of Multiagent Systems
7
24 Convergence Issues
8
511 Query Expansion
82
512 Discriminative Document Terms
84
52 Term Value
85
53 Implementation
86
531 Initial Phase
87
534 Term Selection
88
541 Experiments
89
542 Evaluation Results
91

25 Interaction and Knowledge Exchange
9
Stability of Multiagent Systems
12
32 Background
14
33 Stability in Games
16
332 Definition of Stability
17
333 Example Games
18
34 Experiments
22
342 Load Transportation Model
31
343 Virus Spreading Model
43
344 The Market Demonstrator
52
35 Conclusion
56
The Emergence of Knowledge Exchange An Agentbased Model of a Software Market
59
42 Digital Business Ecosystem
60
422 Market Efficiency
61
43 Background
62
432 The Software Industry
64
44 An Agentbased Model of the DBE
65
442 The Setting
66
443 Exchange of Services
69
444 Discussion
71
45 Analysis of the Model
72
452 Market Efficiency
77
46 Concluding Remarks
79
Collaborative Query Expansion
81
55 Introducing User Collaboration for Query Expansion
94
552 Comparing Sets of Terms
95
553 Example of Collaboration
96
57 Conclusions
98
Microeconomic Control of Distributed Intelligent Personal Assistants
99
62 Network of Intelligent Personal Assistants
101
622 Further Specifications
102
623 The Intelligent Automatic PA
103
624 Negotiating and Optimizing Agents
104
625 An Example
105
63 Finding a Stable Strategy
107
632 A Stable Strategy
108
64 Conclusion
114
Conclusions and Future Work
116
72 Future Directions
119
722 Exchange in Natural Ecosystems
120
73 Concluding Remarks
121
The EEII Project
123
Statistical Analysis
125
B2 Tests for Showing That Two Samples Come from the Same Distribution
126
Methodology Evolutionary Algorithms
129
References
131
Index
141
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