LNAI 2903 Dynamic Games to Assess Network Value and Performance 1st Edition by Gregory Calbert, Peter Smet, Jason Scholz , Hing Wah Kwok ISBN 9783540206460 354020646X

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Product details:
ISBN 10: 354020057X

ISBN 13: 9783540206460 

Author : Gregory Calbert, Peter Smet, Jason Scholz , Hing Wah Kwok

LNAI 2903 Dynamic Games to Assess Network Value and Performance 1st Edition Table of contents:

This paper looks at the analysis of network effectiveness and vulnerability through dynamic games. Each opposing side consists of a collection of vertices (pieces) connected in a network. Only vertices in the largest sub-graph exhibit mobility. We use the mobility and piece removal rules in the game checkers and modify the evaluation function to include sub-graph size balance. With this modified evaluation function, win-lose results of richly versus sparsely connected and centralised versus decentralized topologies are analysed. The results are compared with the current vulnerability studies in networks of varying topology. Finally we use temporal difference learning to calculate advisor weights for richly or sparsely connected vertices.

LNAI 2903 Dynamic Games to Assess Network Value and Performance 1st Edition Table of contents:

1. Foundations of Network Theory

   • Introduction to Network Structures and Types
   • Key Metrics for Assessing Network Performance
   • Network Topology and Its Impact on Performance
   • Graph Theory and Applications in Network Analysis

2. Game Theory and Its Applications in Networks

   • Introduction to Game Theory
   • Types of Games: Cooperative vs. Non-Cooperative
   • Static vs. Dynamic Games
   • Nash Equilibria and Game-Theoretic Solutions in Network Settings

3. Dynamic Games: Theory and Concepts

   • Fundamentals of Dynamic Games
   • Strategies and Payoffs in Dynamic Games
   • Stochastic and Deterministic Games
   • Continuous vs. Discrete Time in Dynamic Games
   • Dynamic Nash Equilibrium in Networked Systems

4. Modeling Network Value Using Dynamic Games

   • Defining Network Value in a Game-Theoretic Context
   • Modeling Interaction Among Network Participants
   • Value Generation in Dynamic Networks: Players and Strategies
   • Dynamic Modeling of Network Evolution and Growth

5. Performance Assessment in Networked Systems

   • Performance Metrics for Networks: Throughput, Latency, Reliability
   • Evaluating Network Efficiency and Robustness
   • Resource Allocation and Performance Optimization
   • Dynamic Performance Metrics and Their Relevance in Real-Time Systems

6. Applications of Dynamic Games in Network Value and Performance Assessment

   • Case Study 1: Network Design and Optimization Using Dynamic Games
   • Case Study 2: Pricing and Incentive Mechanisms in Communication Networks
   • Case Study 3: Performance Assessment in Distributed Systems
   • Case Study 4: Load Balancing and Resource Allocation in Cloud Networks

7. Strategic Interactions and Network Performance

   • Modeling Strategic Interactions Between Network Nodes and Players
   • Competitive and Cooperative Strategies in Dynamic Networks
   • Impact of Strategic Behavior on Network Performance
   • Game-Theoretic Analysis of Network Traffic Management

8. Stability and Efficiency in Dynamic Network Games

   • Stability Analysis of Dynamic Games in Networks
   • Efficiency vs. Fairness in Network Performance
   • Pareto Efficiency and Game-Theoretic Solutions in Networked Systems
   • Convergence to Equilibrium in Dynamic Network Games

9. Future Trends in Network Value and Performance Assessment

• Evolution of Dynamic Game Models in Networked Systems
• Integration of AI and Machine Learning in Network Performance Assessment
• Impact of 5G and Beyond: New Challenges for Dynamic Network Games
• Future Directions in Network Optimization and Game-Theoretic Solutions

11. Conclusion

• Summary of Key Insights and Contributions
• Closing Remarks on the Importance of Dynamic Games in Network Performance Evaluation
• Future Prospects for Game-Theoretic Approaches in Networking

12. Appendices

• Mathematical Foundations and Equations in Dynamic Games
• Algorithms for Dynamic Network Games and Performance Assessment
• Glossary of Key Terms in Network Theory and Game Theory
• References

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Dynamic games are used to evaluate the behavior of players in evolving network environments.

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They are applied in optimizing network performance, security, and traffic management.