Interdisciplinary Insights into Game Theory, Mechanism Design, and Multi-Agent Systems

Dear Colleagues,

We are thrilled to announce a forthcoming Special Issue that explores the multifaceted realm encompassing game theory, mechanism design, and multi-agent systems. This Special Issue is set to provide a broader scope, delving into various facets of algorithm design, online markets, and optimization. The primary objective is to investigate how average-case analysis and experimental methods can complement traditional worst-case analysis in these domains. By doing so, we aim to push the boundaries of our understanding and provide valuable insights into the practical applications of these disciplines. Average-case analysis offers a unique lens through which we can scrutinize the performance of algorithms and systems in scenarios that are more representative of real-world conditions. Experimental methods empower researchers to validate theoretical models in real-world settings, offering a bridge between theory and practice.

We invite submissions that not only address the themes of this Special Issue but also extend their reach to encompass a wide array of related subjects. These may include, but are not limited to, the following:

1. Behavioral game theory: analyzing how human behavior influences strategic decision making in the context of game theory.
2. Dynamic games: exploring the ever-evolving world of strategic interactions over time, capturing the essence of real-world dynamic scenarios.
3. Market design: investigating the intricate design of markets and mechanisms, with an emphasis on facilitating efficient exchanges and resource allocation.
4. Network games: unraveling the dynamics of strategic interactions within complex network structures, shedding light on the interplay between network topology and strategic decision making.
5. Machine learning in games: investigating the integration of machine learning techniques into game theory, examining their impact on strategy evolution and equilibrium outcomes.

These topics represent the cutting edge of ongoing research, enriching our comprehension of strategic interactions, economic behavior, market dynamics, and equilibrium outcomes. By addressing theoretical, experimental, and computational challenges, the contributions to this Special Issue are poised to advance game theory and enhance our grasp of real-world phenomena.

We eagerly anticipate your valuable contributions to this Special Issue. Your expertise and insights are integral to the success of this transformative endeavor.

Warm regards,

Dr. Jie Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Games is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• game theory
• mechanism design
• network games
• dynamic games
• computational game theory
• multi-agent systems
• machine learning