序列模式学习:子预测情况恶化的情况
Thomas R Zentall1, Daniel N Peng2
1Department of Psychology, University of Kentucky, Lexington, KY, 40506-0044, USA. zentall@uky.edu.
Learning & behavior
|March 20, 2024
概括
子在强化任务中表现出低于最佳的选择能力. 他们过早地从渐进式的时间表过渡到固定的时间表,这表明他们预期未来的困难,而不是立即的奖励价值.
科学领域:
- 行为经济学是一种行为经济学.
- 动物认知动物的认知能力.
- 操作者调节的条件.
背景情况:
- 动物经常表现出冲动性,严重折扣未来的奖励.
- 生物通常更喜欢选择需要更少的努力加强的选择.
研究的目的:
- 为了研究子在日益苛刻的日程安排和固定的需求选项之间选择的行为.
- 为了确定子是否优先考虑立即加强或预测未来的努力.
主要方法:
- 子可以在渐进式比率 (4,8,16,32,64次) 和固定比率 (红色=6,绿色=11,蓝色=23,黄色=45次) 之间选择.
- 分析了选择模式,以评估对强化率,努力和时间表进展的敏感性.
主要成果:
- 子系统地比预测的更早地从渐进计划中切换,通过最佳选择或对即时努力的敏感性.
- 观察到的行为表明,子预计了渐进式时间表的日益增加的难度.
结论:
- 子的选择行为低于最佳,这是由于预期未来的时间表值.
- 这挑战了纯粹强化即时性或基于努力的动物行为决策的假设.
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