This paper introduces DebateBrawl, an innovative AI-powered debate platform that integrates Large Language Models (LLMs), Genetic Algorithms (GA), and Adversarial Search (AS) to create an adaptive and engaging debating experience. DebateBrawl addresses the limitations of traditional LLMs in strategic planning by incorporating evolutionary optimization and game-theoretic techniques. The system demonstrates remarkable performance in generating coherent, contextually relevant arguments while adapting its strategy in real-time. Experimental results involving 23 debates show balanced outcomes between AI and human participants, with the AI system achieving an average score of 2.72 compared to the human average of 2.67 out of 10. User feedback indicates significant improvements in debating skills and a highly satisfactory learning experience, with 85% of users reporting improved debating abilities and 78% finding the AI opponent appropriately challenging. The system's ability to maintain high factual accuracy (92% compared to 78% in human-only debates) while generating diverse arguments addresses critical concerns in AI-assisted discourse. DebateBrawl not only serves as an effective educational tool but also contributes to the broader goal of improving public discourse through AI-assisted argumentation. The paper discusses the ethical implications of AI in persuasive contexts and outlines the measures implemented to ensure responsible development and deployment of the system, including robust fact-checking mechanisms and transparency in decision-making processes.

翻译：本文介绍了一种创新的AI驱动辩论平台——DebateBrawl，该平台整合了大语言模型（LLMs）、遗传算法（GA）和对抗搜索（AS），以创建自适应且引人入胜的辩论体验。DebateBrawl通过引入进化优化与博弈论技术，解决了传统大语言模型在战略规划方面的局限性。该系统在生成连贯且语境相关的论据方面表现出色，并能实时调整其辩论策略。涉及23场辩论的实验结果显示，AI与人类参与者之间取得了平衡的辩论结果：在10分制评分中，AI系统的平均得分为2.72，而人类参与者的平均得分为2.67。用户反馈表明，该平台显著提升了用户的辩论技巧，并提供了高度满意的学习体验——85%的用户报告辩论能力得到提升，78%的用户认为AI对手的挑战性适中。系统在保持高事实准确性（达92%，而纯人类辩论为78%）的同时生成多样化论据的能力，有效应对了AI辅助话语中的关键关切。DebateBrawl不仅是一种有效的教育工具，更有助于通过AI辅助论辩来改善公共话语这一更广泛的目标。本文探讨了AI在说服性语境中的伦理影响，并概述了为确保系统负责任开发与部署所采取的措施，包括健全的事实核查机制和决策过程的透明度。