{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:29:24Z","timestamp":1770424164133,"version":"3.49.0"},"edition-number":"First Edition","reference-count":0,"publisher":"National Education Services","isbn-type":[{"value":"9788198217240","type":"print"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Abstract:  This chapter explores the integration of game theory and reinforcement learning (RL) in the context of global diplomacy, emphasizing the transformative potential of strategic AI in international relations. It provides an in-depth analysis of how game theory principles, such as Nash equilibrium and cooperative strategies, are leveraged by AI to model and optimize diplomatic interactions. The chapter explains how reinforcement learning enables AI systems to learn and adapt strategies over time, improving their effectiveness in negotiation and conflict resolution. Through case studies and real-world examples, the text illustrates the practical applications and current limitations of AI in diplomacy, addressing ethical concerns and technical challenges. Finally, it looks ahead to future advancements, such as quantum computing and multi-agent systems, and calls for collaborative efforts to ensure AI's responsible and beneficial use in fostering global stability and peace.  Keywords:  strategic AI, game theory, reinforcement learning, global diplomacy, Nash equilibrium, cooperative strategies, negotiation, conflict resolution, ethical concerns, quantum computing, multi-agent systems, international relations, AI-driven diplomacy, global stability, peace.<\/jats:p>","DOI":"10.62311\/nesx\/7240","type":"book-chapter","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T12:14:37Z","timestamp":1731413677000},"page":"122-130","source":"Crossref","is-referenced-by-count":1,"title":["Strategic AI: Game Theory and Reinforcement Learning for Global Diplomacy"],"prefix":"10.62311","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1023-7035","authenticated-orcid":false,"given":"Murali","family":"Krishna Pasupuleti","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"48693","published-online":{"date-parts":[[2024,11,12]]},"container-title":["AI Diplomacy: Reinforcement Learning and Game Theory for Global Peace and Strategy"],"original-title":[],"link":[{"URL":"https:\/\/www.nationaleducationservices.org\/file-download\/1290424\/Download%20Full-Text%20PDF%20Pp%20122-130_Signed.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T12:14:38Z","timestamp":1731413678000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nationaleducationservices.org\/strategic-ai-game-theory-and-reinforcement-learning-for-global-diplomacy\/pid-2228261415"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,12]]},"ISBN":["9788198217240"],"references-count":0,"URL":"https:\/\/doi.org\/10.62311\/nesx\/7240","relation":{},"subject":[],"published":{"date-parts":[[2024,11,12]]}}}