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MIND GAMES.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: MIND GAMES.
Συγγραφείς: HUCKINS, GRACE (AUTHOR)
Πηγή: MIT Technology Review. Sep/Oct2026, Vol. 129 Issue 5, p60-63. 4p. 5 Color Photographs.
Θεματικοί όροι: *Artificial intelligence, Puzzles, Games, Cognition, Pattern perception, Mathematical logic, Mental rotation
Περίληψη: The article focuses on the role of puzzles and games in evaluating and advancing artificial intelligence (AI) capabilities. It highlights how AI models have improved rapidly in solving complex puzzles like the New York Times Connections and ARC-AGI benchmarks, yet still struggle with spatial reasoning, subtle variations in logic puzzles such as Knights and Knaves, and visual problem-solving. Studies show that while AI can memorize and apply learned patterns, it often fails to generalize or adapt to novel puzzle variations as humans do. The article also presents examples of puzzles that illustrate differences between human and AI cognition, emphasizing areas where humans currently outperform AI. [Extracted from the article]
Copyright of MIT Technology Review is the property of MIT Technology Review and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
FullText Text:
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PubType: Periodical
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  Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Puzzles%22">Puzzles</searchLink><br /><searchLink fieldCode="DE" term="%22Games%22">Games</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+perception%22">Pattern perception</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+logic%22">Mathematical logic</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+rotation%22">Mental rotation</searchLink>
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  Data: The article focuses on the role of puzzles and games in evaluating and advancing artificial intelligence (AI) capabilities. It highlights how AI models have improved rapidly in solving complex puzzles like the New York Times Connections and ARC-AGI benchmarks, yet still struggle with spatial reasoning, subtle variations in logic puzzles such as Knights and Knaves, and visual problem-solving. Studies show that while AI can memorize and apply learned patterns, it often fails to generalize or adapt to novel puzzle variations as humans do. The article also presents examples of puzzles that illustrate differences between human and AI cognition, emphasizing areas where humans currently outperform AI. [Extracted from the article]
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  Data: <i>Copyright of MIT Technology Review is the property of MIT Technology Review and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=196127883
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 60
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Puzzles
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      – SubjectFull: Games
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      – SubjectFull: Cognition
        Type: general
      – SubjectFull: Pattern perception
        Type: general
      – SubjectFull: Mathematical logic
        Type: general
      – SubjectFull: Mental rotation
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      – TitleFull: MIND GAMES.
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            – D: 01
              M: 09
              Text: Sep/Oct2026
              Type: published
              Y: 2026
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