Reading as active sensing: a computational model of gaze planning in word recognition.
Reading as active sensing: a computational model of gaze planning in word recognition.
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DOI：
10.3389/fnbot.2010.00006
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发表时间：
2010
影响因子：
3.1
通讯作者：
Pirrelli V
中科院分区：
文献类型：
--
作者：
Ferro M;Ognibene D;Pezzulo G;Pirrelli V
我们提供了一个计算模型的凝视规划在阅读，包括两个主要组成部分：一个词汇表示网络，从输入文本（意大利CHILDES数据库的一个子集）获取词汇表示，和一个凝视计划，旨在识别书面文字字符串映射到词汇表示。该模型实现了一种主动感知策略，该策略根据词汇表示网络动态做出的预测来选择输入字符串中的哪些字符要被固定。我们分析了系统在执行单词识别任务时的发展轨迹，作为增加词汇能力和相应增加词汇预测能力的函数。最后，我们讨论了我们的方法可以在应用于机器人设置的主动传感策略的上下文中扩展。
We offer a computational model of gaze planning during reading that consists of two main components: a lexical representation network, acquiring lexical representations from input texts (a subset of the Italian CHILDES database), and a gaze planner, designed to recognize written words by mapping strings of characters onto lexical representations. The model implements an active sensing strategy that selects which characters of the input string are to be fixated, depending on the predictions dynamically made by the lexical representation network. We analyze the developmental trajectory of the system in performing the word recognition task as a function of both increasing lexical competence, and correspondingly increasing lexical prediction ability. We conclude by discussing how our approach can be scaled up in the context of an active sensing strategy applied to a robotic setting.