图 书 馆
自然RLDM：大脑和行为的最佳和次最佳控制Natural RLDM: Optimal and Subptimal Control in Brain and Behavior |
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| 课程网址: | http://videolectures.net/rldm2015_daw_brain_and_behavior/ |
| 主讲教师: | Nathaniel Daw |
| 开课单位: | 纽约大学 |
| 开课时间: | 2015-07-28 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Approaches to reinforcement learning and statistical decision theory from artificial intelligence offer appealing frameworks for understanding how biological brains solve decision problems in the natural world. In particular, these engineering approaches typically begin with a clear, normative analysis of the optimal solution to the problem. However, rather than stopping there, they focus on realizing it, often approximately, with a step-by-step algorithmic solution, which lends itself naturally to process-level accounts of the psychological and neural mechanisms underlying behavior and its suboptimalities. In this tutorial I will review research into biological decision making and reinforcement learning from psychology, ethology, behavioral economics, and neuroscience. I will focus on how the brain may implement different approximations to the ideal observer, how this may help to explain notions of modularity or multiplicity of decision systems across several domains, how these approximations might be understood as boundedly rational when taking into account the costs and benefits of computation, and how these mechanisms might be implicated in self control and psychiatric disorders. |
| 关 键 词: | 神经科学; 行为学; 行为经济学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-11-20：zkj |
| 最后编审: | 2021-11-20：zkj |
| 阅读次数: | 53 |