アライグマは楽しみのためにパズルを解くことが判明(Raccoons solve puzzles for the fun of it, new study finds)

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2026-03-09 ブリティッシュコロンビア大学(UBC)

カナダのブリティッシュコロンビア大学(UBC)の研究チームは、アライグマが食物報酬だけでなく「楽しさ」のためにも問題解決行動を行う可能性を示した。研究では都市部に生息するアライグマを対象に、複数の仕掛けを持つパズル型装置を設置して行動を観察した。その結果、餌が得られない状況でも装置を操作し続ける個体が確認され、単なる食料獲得だけでなく好奇心や遊びに近い動機で問題解決行動を示すことが示唆された。また、個体によって探索行動や学習速度に違いが見られ、都市環境に適応する柔軟な認知能力の存在が示された。この研究は、野生動物の認知能力や動機づけの理解を深めるとともに、人間活動が多い都市環境における動物の行動適応を考えるうえで重要な知見を提供する。

<関連情報>

アライグマは情報を最適に探す:イノベーションにおける探索と利用のトレードオフ Raccoons optimally forage for information: exploration–exploitation trade-offs in innovation

Hannah J. Griebling, Shylo R. Johnson, Sarah Benson-Amram
Animal Behaviour  Available online: 27 February 2026
DOI:https://doi.org/10.1016/j.anbehav.2026.123491

アライグマは楽しみのためにパズルを解くことが判明(Raccoons solve puzzles for the fun of it, new study finds)

Highlights

  • Innovative problem solving can be beneficial, especially for some urban species.
  • Optimal foraging theory can be used to predict exploration–exploitation trade-offs.
  • We found evidence for exploration–exploitation trade-offs in problem solving.
  • Raccoons foraged for information on a multi-access puzzle box.
  • This information foraging followed optimal foraging theory.

Animals in rapidly changing environments, such as cities, should optimize information gathering to learn about and efficiently forage in these heterogeneous environments. Urban life can require animals to innovate to access new resources, and deciding when to problem-solve and when to rely on previous knowledge is therefore important for some urban species. We took an optimal foraging theory approach to study innovation in a successful urban mammal. We presented captive raccoons, Procyon lotor, with a multiaccess puzzle box with three possible solutions at one of three difficulty levels (Easy, Medium, Hard). Raccoons progressed through the difficulty levels as they successfully solved the solution types at each easier level. In contrast to previous multiaccess puzzle box studies, we allowed the raccoons to solve as many solutions as they preferred during their trials, and we kept all solutions available across all trials at each difficulty level. Using this multiaccess puzzle box paradigm, we found that raccoons optimized information gain and energy gain: they explored and innovated more when presented with easier problems and exploited known solutions more when presented with difficult problems. This ability to flexibly problem-solve and optimize information foraging may be beneficial for this flourishing urban mammal.

生物環境工学
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