标题： CogniPlay：一种用于通用游戏博弈的类人模型，正在进行中 显示英文标题

标题： CogniPlay: a work-in-progress Human-like model for General Game Playing

摘要： 虽然人工智能系统在象棋、围棋或Dota 2等多种游戏中已经达到了甚至超越了人类的表现，但将这些系统描述为真正“类人”的仍然牵强。 尽管取得了成功，它们却无法复制人类认知中观察到的基于模式的、直觉的决策过程。 本文综述了认知心理学的研究成果以及之前在模拟类人行为方面所做的努力，讨论了这些成果在通用游戏博弈（GGP）中的适用性，并介绍了我们基于这些观察的正在进行中的模型：CogniPlay。 显示英文摘要

摘要： 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.