构建类人决策的通用游戏模型，模拟人类直觉思维。
CogniPlay: a work-in-progress Human-like model for General Game Playing
- 基于认知心理学构建类人决策机制
- 整合模式识别与直觉推理能力
- 适合研究通用智能与人机交互的学者
尽管人工智能在国际象棋、围棋或Dota 2等游戏中已达到甚至超越人类水平，但将其描述为真正‘类人’仍不切实际。这些系统未能复现人类认知中基于模式的直觉决策过程。本文综述了认知心理学研究成果及以往建模人类行为的尝试，探讨其在通用游戏博弈（GGP）中的适用性，并介绍我们正在开发的基于这些观察的模型CogniPlay。
原文摘要 · Abstract (English)
While AI systems have equaled or surpassed human performance in a wide variety of games such as Chess, Go, or Dota 2, describing these systems as truly "human-like" remains far-fetched. Despite their success, they fail to replicate the pattern-based, intuitive decision-making processes observed in human cognition. This paper presents an overview of findings from cognitive psychology and previous efforts to model human-like behavior in artificial agents, discusses their applicability to General Game Playing (GGP) and introduces our work-in-progress model based on these observations: CogniPlay.
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