同时选择的活跃时间模型
1Department of Psychological Science, Vassar College, Poughkeepsie, NY, United States of America.
PloS one
|May 21, 2024
概括
活跃时间模型 (ATM) 解释了使用自上次响应以来的时间作为关键因素的并发选择行为. 这种新模型成功地解释了各种数据集,超过了现有的操作条件模型.
科学领域:
- 行为心理学 行为心理学
- 操作者调节 操作者调节
- 数学建模的数学建模
背景情况:
- 同时的选择行为对于理解决策至关重要.
- 现有的模型,如改善,SET和瞬间最大化,在解释复杂的选择模式方面存在局限性.
研究的目的:
- 引入和验证用于并发选择的活跃时间模型 (ATM).
- 将ATM的预测能力与已建立的操作条件模型进行比较.
- 调查操作者选择的潜在决定因素.
主要方法:
- 开发了一个稳态,半马尔科夫过程模型 (ATM).
- 定义"活动时间"为自上次响应以来的间隔,影响切换/停留概率.
- 将ATM预测与实证数据和其他模型进行比较 (改进,SET,瞬间最大化).
主要成果:
- 机器人机器人准确地预测了并发变量间隔 (VI) VI表中的偏好.
- 该模型解释了分子选择模式,切换,坚持和分子选择比例.
- 与改善,SET和瞬间最大化相比,ATM显示出更好的适应性.
结论:
- 活动时间模型为理解并发选择提供了一个强大的框架.
- 操作者选择很可能是多重决定的,不能用单一模型来解释.
- 适应性观点对于解释动物选择和实验程序至关重要.
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