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Looking at things this way deals with two things that have always bugged the old model.
One is sensitivity to timescale.
The other is computational tractability.
The timescale problem is that cause and effect may be separated by milliseconds (switching on a light bulb and experiencing illumination), minutes (having a drink and feeling tipsy) or even hours (eating something bad and getting food poisoning).
Looking backward, Dr.Namboodiri explains, permits investigation of an arbitrarily long list of possible causes.
Looking forward, without always knowing in advance how far to look, is much trickier.
This leads to the second problem.
Sensory experience is rich, and everything therein could potentially predict an outcome.
Making predictions based on every single possible cue would be somewhere between difficult and impossible.
It is far simpler, when a meaningful event happens, to look backwards through other potentially meaningful events for a cause.
In practice, however, it is hard to distinguish experimentally between the two models.
And that is especially true if you do not even bother to look - which, until now, people have not.
Dr. Jeong and Dr. Namboodiri have done so.
They devised and conducted 11 experiments involving mice, buzzers and drops of sugar solution that were designed specifically for the purpose.
以这种模型看待问题解决了两个旧模型无法解释的问题。
一是时间上的敏感性。
二是计算上的可操纵性。
时间方面的问题在于,因果可能以毫秒(打开灯泡并感受到照明)、分钟(喝饮料并感到醉意)甚至小时(吃坏肚子并食物中毒)为单位出现。
南博迪里博士解释说,回顾过去,可以分析很多可能造成某个结果的原因。
但展望未来,不总是能够知道要等待什么时候发生的什么结果,分析起来要困难得多。
这就导致了第二个问题。
感官体验是十分丰富的,其中一切都有可能是结果的预测。
根据可能的单一线索进行预测十分困难,甚至不可能实现。
而如果发生了一件有意义的事,据此回顾其它潜在的、有意义的事来寻找原因要简单得多。
然而现实是,很难在实验中区分这两种模型。
如果你甚至懒得费心去看,那就更是如此――到目前为止,还没有人做过这样的事。
而郑博士和南博迪里博士做到了这一点。
他们设计并进行了11项实验,实验用到了小鼠和专门为实验设计的蜂鸣器和糖液。
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