自由地寻找食物的在模糊的地形中重视信息.
Neda Shahidi1,2,3,4, Zurna Ahmed5,6,7, Yuliya Badayeva8
1Georg-Elias-Müller-Institute for Psychology, Georg-August-Universität, Göttingen, Germany. nshahidi@dpz.eu.
Scientific reports
|January 7, 2026
概括
在模糊的环境中寻找食物时表现出莱维式的随机步行,平衡探索和剥削. 它们的食路径揭示了一个持续的信息搜索策略,以减少不确定性.
科学领域:
- 动物行为 动物行为
- 灵长类的认知能力
- 空间导航是指空间导航.
背景情况:
- 适应不同的环境,并表现出对新信息的亲和力.
- 在模两可的食地形中,在的空间导航中寻找信息的理解很少.
研究的目的:
- 在模糊的地形中调查的空间食模式.
- 量化信息搜索在食策略中的作用.
主要方法:
- 观看自由移动的在15平方米的地形上寻找食物,并提供隐藏的奖励.
- 使用莱维式随机步行模型分析空间搜索模式.
- 采用基于内核的模型,整合模糊性,奖励和近距离地图.
主要成果:
- 表现出莱维式的随机步行,平衡探索和迁移.
- 遇到奖励暂时偏向搜索到发现的位置.
- 确定了个人对信息,奖励或近距离的偏好方面的差异.
结论:
- 明确的信息搜索是在模两可的环境中寻食物策略的组成部分.
- 寻找信息的综合方法,利用奖励的近距离,并管理模两可,优化了食.
- 这种策略提供了一种生态有效的方法,用于在不确定的地形上导航.
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