Epistemic action increases with skill
Epistemic action increases with skill
复制标题
认知行动随着技能的增加而增加
DOI：
--
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
D. Kirsh
中科院分区：
文献类型：
--
作者：
P. Maglio;D. Kirsh
根据大多数专业知识，随着代理人技能的提高，他们被认为会犯更少的错误，并采取更少的冗余或回溯行动。与这些说法相反，在本文中，我们提供了从学习玩电子游戏俄罗斯方块的人们收集的数据，这些数据表明，随着技能的提高，后来通过回溯撤销的游戏动作的比例也会增加。尽管如此，我们也发现，随着游戏技巧的提高，玩家的速度也会加快，正如练习幂律所预测的那样。我们将观察到的回溯增加解释为交互式搜索过程的结果，在该过程中，代理内部和代理外部动作交织在一起，从而使认知计算更加高效（即更快）。我们将简化代理计算的外部动作称为认知动作。
On most accounts of expertise, as agents increase their skill, they are assumed to make fewer mistakes and to take fewer redundant or backtracking actions. Contrary to such accounts, in this paper we present data collected from people learning to play the videogame Tetris which show that as skill increases,the proportion of game actions that are later undone by backtracking also increases. Nevertheless, we also found that as game skill increases, players speed up as predicted by the power law of practice. We explain the observed increase in backtracking as the result of an interactive search process in which agentinternal and agent-external actions are interleaved, making the cognitive computation more efficient (i.e., faster). We refer to external actions which simplify an agent’s computation as epistemic actions.