概念空间中的抽象概念建模：以国际象棋策略为例的研究
Abstract Concept Modelling in Conceptual Spaces: A Study on Chess Strategies
AI总结：
本文提出基于概念空间的抽象概念建模方法，通过国际象棋策略分析展示轨迹识别技术，支持双视角建模与知识进化机制整合。
摘要：
我们提出了一种概念空间框架，用于建模随时间演变的抽象概念，通过基于国际象棋的证明概念进行了演示。策略概念，如进攻或牺牲，被表示为可解释质量维度上的几何区域，国际象棋游戏被实例化并分析为轨迹，其方向性运动向区域使识别意图策略成为可能。这种方法还支持双视角建模，捕捉玩家如何以不同方式解释相同情况。我们的实现展示了基于轨迹的概念识别可行性，运动模式与专家评论一致。这项工作探讨了将概念空间理论扩展到时间实现、目标导向概念的可能性。该方法为更广泛的应用奠定了基础，涉及顺序决策，并支持与知识进化机制整合，以学习和改进抽象概念随时间的变化。
英文摘要：
We present a conceptual space framework for modelling abstract concepts that unfold over time, demonstrated through a chess-based proof-of-concept. Strategy concepts, such as attack or sacrifice, are represented as geometric regions across interpretable quality dimensions, with chess games instantiated and analysed as trajectories whose directional movement toward regions enables recognition of intended strategies. This approach also supports dual-perspective modelling, capturing how players interpret identical situations differently. Our implementation demonstrates the feasibility of trajectory-based concept recognition, with movement patterns aligning with expert commentary. This work explores extending the conceptual spaces theory to temporally realised, goal-directed concepts. The approach establishes a foundation for broader applications involving sequential decision-making and supports integration with knowledge evolution mechanisms for learning and refining abstract concepts over time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
