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预测人类行为:下一个前沿
V S Subrahmanian1, Srijan Kumar1
1University of Maryland, College Park, MD 20742, USA.
机器学习为理解人类行为提供了新的途径. 这篇文章回顾了成功的行为预测方法以及该领域的未来挑战.
科学领域:
- 行为科学
- 计算机科学
- 数据科学
背景情况:
- 机器学习 (ML) 提供先进的计算工具.
- 了解人类行为是一个复杂的,多学科的挑战.
研究的目的:
- 概述机器学习在预测人类行为的关键成功.
- 确定和讨论现场即将面临的挑战.
主要方法:
- 对行为预测中的ML应用现有文献的审查.
- 综合成功的预测模型及其结果.
主要成果:
- 在预测各种人类行为方面取得了显著成功.
- 使用机器学习进行成功的行为预测的具体例子.
结论:
- 机器学习是促进人类行为理解的强大工具.
- 应对未来的挑战对于该领域的持续进步至关重要.
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