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首页> 外文会议>Asia-Pacific conference on simulated evolution and learning >Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters: Comparison between Darwinian and Lamarckian Evolution
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Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters: Comparison between Darwinian and Lamarckian Evolution

机译：改变环境的适应性，具有所获取的特征的各种遗传率：达尔文和拉马克进化之间的比较

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In this paper, we study the relationship between learning and evolution in a simple abstract model, where neural networks capable of learning are evolved through genetic algorithms (GAs). The connective weights of individuals' neural networks undergo modification, i.e., certain characters will be acquired, through their lifetime learning. By setting various rates for the heritability of acquired characters, which is a motive force of Lamarckian evolution, we observe adaptational processes of the populations over successive generations. Paying particular attention to behaviours under changing environments, we show the following results. The population with the lower rate of heritability not only shows more stable behaviour against environmental changes, but also maintains greater adaptability with respect to such changing environments. Consequently, the population with zero heritability, i.e., the Darwinian population, attains the highest level of adaptation toward dynamic environments.
机译：在本文中，我们研究了一个简单的抽象模型中学习与演进之间的关系，其中通过遗传算法（气体）进化了能够进行学习的神经网络。通过其终身学习将获得个人神经网络的连接重量，即，将获得某些字符。通过为所获得的人物的可遗传性设定各种税率，这是拉马克进化的动力，我们观察了连续几代人口的适应过程。我们特别注意改变环境下的行为，我们展示了以下结果。遗传性率较低的人口不仅表明了对环境变化的更稳定的行为，而且还对这种不断变化的环境保持了更大的适应性。因此，具有零遗传性的人口，即达尔文人口，达到了对动态环境的最高水平。

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