This Research Topic is Volume II of a series. The previous volume can be found here:
Real-World Applications of Game Theory and Optimization

This research topic centers on the practical application of game theory and optimization methods to address complex challenges in real-world contexts. At its core, game theory provides a framework for analyzing strategic interactions among rational decision-makers, while optimization techniques are designed to seek the most favorable outcomes. These tools have proven to be powerful assets across a wide range of domains, from economics and computer science to social sciences and engineering. The following objectives guide this exploration: (i) Understanding Game Theory and Optimization in Real-world Contexts: This objective involves investigating how these mathematical constructs are applied to model and resolve problems across various fields. (ii) Analyzing the Effectiveness of Game Theory and Optimization Techniques: This involves studying real-world case studies and practical applications with the goal of evaluating the performance and efficiency of these methods in practice. (iii) Identifying Potential Areas for Effective Application of Game Theory and Optimization: This objective aims to pinpoint sectors or disciplines that may significantly benefit from the application of these mathematical techniques.

The goal of this Research Topic in Frontiers in Physics aims to produce a comprehensive understanding of the real-world applications of game theory and optimization, highlighting their practical impact and potential for future use. It will provide valuable insights for professionals and researchers working in the fields where these techniques can be applied and contribute to the body of knowledge in game theory and optimization. Potential topics include but are not limited to the following:
1. Economics and Business: How are game theory and optimization used to make strategic business decisions and to understand economic phenomena?
2. Computer Science: How do these techniques contribute to areas like network design, machine learning, and algorithm development?
3. Social Sciences: How can game theory and optimization help in understanding social dynamics, designing policies, and resolving conflicts?
4. Engineering and Operations Research: How are these techniques utilized in system design, process optimization, and decision-making?

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