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

--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 humanlike behavior in artificial agents, discusses their applicability to General Game Playing (GGP) and introduces our work-in-progress model based on these observations: CogniPlay. Although AI systems have surpassed human performance in games such as Chess [5], Go [14], and competitive games like Dota 2 [2], describing them as "human-like" would be an overstatement. Despite their exceptional performance, these systems fail to accurately replicate the selective, pattern-based decision-making that characterizes human cognition [8], [12].