单词lamarckian
网络: 拉马克的；拉马克式的；学拉马克
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。