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Convergence and Knowledge Processing in Multi-Agent Systems 2009 ed. [Kõva köide]

  • Formaat: Hardback, 143 pages, kõrgus x laius: 235x155 mm, kaal: 890 g, XV, 143 p., 1 Hardback
  • Sari: Advanced Information and Knowledge Processing
  • Ilmumisaeg: 08-Jun-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848820623
  • ISBN-13: 9781848820623
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  • Formaat: Hardback, 143 pages, kõrgus x laius: 235x155 mm, kaal: 890 g, XV, 143 p., 1 Hardback
  • Sari: Advanced Information and Knowledge Processing
  • Ilmumisaeg: 08-Jun-2009
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848820623
  • ISBN-13: 9781848820623
Teised raamatud teemal:
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.
Introduction
1(4)
Background to the Research
2(1)
Approach
2(1)
Contributions
3(1)
Reader's Guide to the Book
4(1)
Research Issues
5(8)
Multi-agent Systems
5(1)
Agent-based Modelling
6(1)
An Ecosystem Perspective of Multi-agent Systems
7(1)
Convergence Issues
8(1)
Interaction and Knowledge Exchange
9(4)
Stability of Multi-agent Systems
13(46)
Introduction
13(1)
Background
14(2)
Stability in Games
16(6)
Stochastic Systems Primer
16(1)
Definition of Stability
17(1)
Example Games
18(4)
Experiments
22(34)
Trading Simulation Model
22(9)
Load Transportation Model
31(12)
Virus Spreading Model
43(9)
The Market Demonstrator
52(4)
Conclusion
56(3)
Limitations and Future Work
56(1)
Achievements
56(3)
The Emergence of Knowledge Exchange: An Agent-based Model of a Software Market
59(22)
Introduction
59(1)
Digital Business Ecosystem
60(2)
A DBE Economy
60(1)
Market Efficiency
61(1)
Background
62(3)
Exchange in Economic Markets
62(2)
The Software Industry
64(1)
An Agent-based Model of the DBE
65(7)
Agent-based Modelling
65(1)
The Setting
66(3)
Exchange of Services
69(2)
Discussion
71(1)
Analysis of the Model
72(7)
Service Exchange
72(5)
Market Efficiency
77(2)
Concluding Remarks
79(2)
Collaborative Query Expansion
81(18)
Introduction
81(4)
Query Expansion
82(2)
Discriminative Document Terms
84(1)
Term Value
85(1)
Implementation
86(2)
Initial Phase
87(1)
Stemming
87(1)
Common Word Filtering
87(1)
Term Selection
88(1)
Evaluation
88(6)
Experiments
89(2)
Evaluation Results
91(3)
Introducing User Collaboration for Query Expansion
94(2)
Collaboration Procedure
94(1)
Comparing Sets of Terms
95(1)
Example of Collaboration
96(1)
Limitations and Future Work
96(2)
Conclusions
98(1)
Micro-economic Control of Distributed Intelligent Personal Assistants
99(18)
Stable Strategies
99(2)
Network of Intelligent Personal Assistants
101(6)
Definition of the Automatic PA
101(1)
Further Specifications
102(1)
The Intelligent Automatic PA
103(1)
Negotiating and Optimizing Agents
104(1)
An Example
105(2)
Finding a Stable Strategy
107(7)
The Discrete Event Simulator
107(1)
A Stable Strategy
108(6)
Conclusion
114(3)
Conclusions and Future Work
117(5)
Contributions
117(2)
Future Directions
119(2)
Ecosystems of Networked Businesses
119(1)
Exchange in Natural Ecosystems
120(1)
Concluding Remarks
121(1)
Appendices
122(9)
The EEII Project
123(2)
Statistical Analysis
125(4)
Statistical Hypothesis Testing
125(1)
Tests for Showing That Two Samples Come from the Same Distribution
126(3)
Methodology: Evolutionary Algorithms
129(2)
References 131(10)
Index 141