寻求信息的决策策略在动态,不确定的环境中减轻风险
Nicholas W Barendregt1, Joshua I Gold2, Krešimir Josić3
1BioFrontiers Institute, University of Colorado Boulder.
ArXiv
|April 8, 2025
概括
有效的决策策略平衡信息收集和承诺. 这项研究在动态环境中比较了奖励寻找与信息寻找策略,发现信息寻找提供了更一致的结果,奖励损失最小.
科学领域:
- 认知科学 认知科学
- 行为经济学是一种行为经济学.
- 计算神经科学是一种神经科学.
背景情况:
- 个人需要适应不确定的环境的适应性决策策略.
- 现有的模型往往专注于优化奖励或收集各种信息.
- 有限的研究将这些策略与动态,现实世界的环境进行比较.
研究的目的:
- 比较规范性奖励寻求和信息寻求策略.
- 评估他们在动态食任务中的表现.
- 了解奖励优化和信息收集之间的权衡.
主要方法:
- 模拟了一个动态的食任务,改变环境的不确定性.
- 实施并比较了寻求奖励和寻求信息的规范决策策略.
- 分析行为转变和绩效结果.
主要成果:
- 这两种战略在勘探和开采之间表现出类似的转变.
- 寻求回报的策略带来了略高的平均回报.
- 信息搜索策略产生了更一致和可预测的结果.
- 寻找信息降低了风险,平均回报损失最小.
结论:
- 寻找信息的行为适应于在动态环境中降低风险.
- 奖励和信息搜索策略之间存在微妙但有意义的绩效差异.
- 为了在不确定性中生存,平衡信息收集和承诺至关重要.
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