{"ID":2896983,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.05868","arxiv_id":"2507.05868","title":"CogniPlay: a work-in-progress Human-like model for General Game Playing","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.05868","url_pdf":"https://arxiv.org/pdf/2507.05868v1","authors":"[\"Aloïs Rautureau\",\"Éric Piette\"]","published":"2025-07-08T10:48:29Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[]","has_code":false}