CogniPlay: a work-in-progress Human-like model for General Game Playing
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918086396870656 |
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| author | Rautureau, Aloïs Piette, Éric |
| author_facet | Rautureau, Aloïs Piette, Éric |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_05868 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CogniPlay: a work-in-progress Human-like model for General Game Playing Rautureau, Aloïs Piette, Éric Artificial Intelligence 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. |
| title | CogniPlay: a work-in-progress Human-like model for General Game Playing |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2507.05868 |