TASK-ACTION GRAMMARS: A MODEL OF THE MENTAL REPRESENTATION OF TASK LANGUAGES.

被引：0

作者：

Payne, Stephen J. ^{[1
]}

Green, T.R.G. ^{[1
]}

机构：

[1] Univ of Lancaster, Lancaster, Engl, Univ of Lancaster, Lancaster, Engl

来源：

Human-Computer Interaction | 1986年 / 2卷 / 02期

关键词：

COMPUTER METATHEORY - Formal Logic - COMPUTER PROGRAMMING - Personnel Training - SYSTEMS SCIENCE AND CYBERNETICS - Man Machine Systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A formal model of the mental representation of task languages is presented. The model is a metalanguage for defining task-action grammars (TAG): generative grammars that rewrite simple tasks into action specifications. This device allows the representation of family resemblances between individual task-action mappings. Simple complexity metrics over task-action grammars make predictions about the relative learnability of different task language designs. Some empirical support for these predictions is derived from the existing empirical literature on command language learning, and from two unreported experiments.

引用

页码：93 / 133