Selection for Reinforcement-free Learning Ability as an Organizing Factor in the Evolution of Cognition
Selection for Reinforcement-free Learning Ability as an Organizing Factor in the Evolution of Cognition
复制标题
选择无强化学习能力作为认知进化的组织因素
DOI：
10.1155/2013/841646
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Takaya Arita
中科院分区：
文献类型：
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作者：
Solvi Arnold;Reiji Suzuki;Takaya Arita
本研究探讨了环境结构与神经认知结构的关系。我们假设，有效学习能力的选择压力（特别是在有限或没有奖励信息的设置）转化为神经认知和环境结构之间的对应关系的选择压力，因为这样的对应关系允许简单的环境变化，以处理简单的学习更新神经认知结构。我们提出了一个模型，在这个模型中，一种简单形式的无强化学习在神经网络中使用神经调节进化，并分析了这种学习能力的选择对虚拟物种神经组织的影响。我们发现一个更高程度的组织比在控制人口进化没有学习能力，并讨论所观察到的神经结构和环境结构之间的关系。我们讨论我们的研究结果的背景下，环境的复杂性论文，鲍德温效应，以及其他适应过程之间的相互作用。
This research explores the relation between environmental structure and neurocognitive structure. We hypothesize that selection pressure on abilities for efficient learning (especially in settings with limited or no reward information) translates into selection pressure on correspondence relations between neurocognitive and environmental structure, since such correspondence allows for simple changes in the environment to be handled with simple learning updates in neurocognitive structure. We present a model in which a simple form of reinforcement‐free learning is evolved in neural networks using neuromodulation and analyze the effect this selection for learning ability has on the virtual species′ neural organization. We find a higher degree of organization than in a control population evolved without learning ability and discuss the relation between the observed neural structure and the environmental structure. We discuss our findings in the context of the environmental complexity thesis, the Baldwin effect, and other interactions between adaptation processes.