在日常活动中的行动选择:机会主义规划模型
Petra Wenzl1, Holger Schultheis2
1Institute for Artificial Intelligence, University of Bremen.
Cognitive science
|April 24, 2024
概括
由于有限的理性,人们在日常任务中更喜欢特定的行动顺序,旨在最大限度地减少努力. 机会主义规划模型通过利用空间环境和逐步优化策略来解释这一点.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 在明确定义的任务中对行动选择进行了充分的研究.
- 在不清楚的日常任务中理解决策仍然有限.
- 日常任务往往呈现出多个有效的解决方案路径.
研究的目的:
- 在不清楚的日常任务中研究行动选择策略.
- 解释观察到的人类在任务排序中的偏好.
- 提出并验证一种用于机会主义规划的认知模型.
主要方法:
- 开发了机会主义规划模型 (OPM).
- 基于有限理性原则的模拟行动选择.
- 评估了OPM对新日常任务的概括能力.
主要成果:
- 在不清楚的任务中选择人类行动显示出特定的,非随机的偏好.
- 偏好是由最小化身体和认知努力驱动的.
- OPM成功地对新任务进行概括,在概括方面表现优于机器学习模型.
结论:
- 有限的理性影响日常任务规划通过尽量减少努力.
- 空间环境属性和逐步优化策略是关键.
- 机会主义规划模型提供了一个强有力的解释,对人类行动选择在不明确的问题.
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