0


人类记忆搜索随机游动在语义网络中

Human memory search as a random walk in a semantic network
课程网址: http://videolectures.net/machine_abbott_semantic/  
主讲教师: Abbott Joshua T
开课单位: 加州大学伯克利分校
开课时间: 2013-01-14
课程语种: 英语
中文简介:
人类的头脑有一种非凡的能力将大量的信息储存在记忆中,并且在需要时有一种更非凡的能力来恢复这些经验。了解构成人类记忆搜索基础的表示和算法可能对其他信息检索设置(包括互联网搜索)有用。心理学研究揭示了人们如何搜索他们的记忆的清晰规律,成串的语义相关的项目倾向于一起检索。最近,这些发现被认为是人类记忆搜索与在零碎环境中觅食的动物相似的证据,人们做出了一个理性的决定,当一组相关的信息耗尽时,就从这些信息中转移出去。我们证明了作为证据的结果也来自语义网络上的随机行走,就像互联网搜索引擎中使用的随机网络冲浪者模型。这提供了一个更简单、更统一的描述,说明人们如何搜索他们的内存,假设一个进程而不是一个进程来探索一个集群和一个进程来在集群之间切换。
课程简介: The human mind has a remarkable ability to store a vast amount of information in memory, and an even more remarkable ability to retrieve these experiences when needed. Understanding the representations and algorithms that underlie human memory search could potentially be useful in other information retrieval settings, including internet search. Psychological studies have revealed clear regularities in how people search their memory, with clusters of semantically related items tending to be retrieved together. These findings have recently been taken as evidence that human memory search is similar to animals foraging for food in patchy environments, with people making a rational decision to switch away from a cluster of related information as it becomes depleted. We demonstrate that the results that were taken as evidence for this account also emerge from a random walk on a semantic network, much like the random web surfer model used in internet search engines. This offers a simpler and more unified account of how people search their memory, postulating a single process rather than one process for exploring a cluster and one process for switching between clusters.
关 键 词: 人类记忆搜索; 语义网络; 随机游走
课程来源: 视频讲座网
最后编审: 2019-12-27:lxf
阅读次数: 48