lamarckian

lamarckian

美 　英

• 网络拉马克的；拉马克式的；学拉马克

例句

In a mathematical sense, Lamarckian evolution injects a bit of learning into the soup.

从数学意义上来说，拉马克进化在培养基里注入了一点学习的要素。

But the concept of Lamarckian inheritance has made a comeback in recent years, as scientists learn more about epigenetics.

但近几年，拉马克理论随着科学家对表观遗传学认识的深入有回归的迹象。

As human brains evolved, they created culture, which permitted the birth of a true Lamarckian system of inherited acquisitions.

随着人脑的演化，他们创造出了文化，文化又允许遗传所得的真正的拉马克系统诞生。

But there remains a universe full of strange types of potential computation that might employ various modes of Lamarckian broadcasting.

不过，宇宙仍然充满了奇特的潜在算法，都可能利用各种各样的拉马克传播形式。

But Lamarckian evolution requires an organism to have a working index to its genes.

不过，拉马克式进化需要生物体给它的基因编制工作目录单。

Animals could react, choose, migrate, adapt, and give room for the blossoming of pseudo- Lamarckian evolution.

动物能作出反应，选择、迁移、适应，为假想的拉马克进化的发展腾出位置。

They chose a most logical alternative: Lamarckian evolution -- the inheritance of acquired traits.

他们做出了最合乎逻辑的选择：拉马克进化——后天性状的继承。

In all probability, Lamarckian biology requires a type of deep complexity -- an intelligence -- that most organisms can't reach.

拉马克式生物学十有八九需要一种深层的复杂形式——一种智能——而多数生物的复杂性都达不到这个水平。

The thing about Lamarckian evolution, says Ackley, is that it "very quickly squeezes out the idiots" in a population.

艾克利说，拉马克进化的优点在于它把种群中的“白痴非常迅速地挤出去。”

Ackley and Littman showed that computers programmed by humans could run Lamarckian evolution.

阿克里和利特曼的展示已经表明，由人类编程的计算机能运行拉马克式进化。

My larger point is that the advantages of Lamarckian evolution are so great that nature has found ways to make it happen.

我的更重要的观点是说，由于拉马克式进化的优势如此显著，因而使自然找到了令其发生的方式。

Broadcasting, like cultural teaching, is a part of Lamarckian search.

传播，与文化学习一样，是拉马克检索的一部分。

Ant algorithms are a type of Lamarckian search.

蚂蚁算法是拉马克检索的一种形式。

So, this made evolution suddenly Lamarckian, instead of Darwinian.

所以，这是一种拉马克式进化，而非达尔文式。

Ackley and Littman implemented a Lamarckian system on a parallel computer with 16, 000 processors.

艾克利和利特曼在一台拥有16,000个处理器的计算机上运行了拉马克系统。

What else would it take to have a Lamarckian biology?

要获得拉马克生物学还需要别的什么？

Lamarckian evolution produces smarter answers because it is a smarter type of search.

拉马克进化产生出更聪明的答案，因为它是更聪明的检索形式。