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首页> 外文期刊>Topics in cognitive science >How Evolution May Work Through Curiosity-Driven Developmental Process
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How Evolution May Work Through Curiosity-Driven Developmental Process

机译：进化如何在好奇心驱动的发展过程中发挥作用

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摘要

Infants' own activities create and actively select their learning experiences. Here we review recent models of embodied information seeking and curiosity-driven learning and show that these mechanisms have deep implications for development and evolution. We discuss how these mechanisms yield self-organized epigenesis with emergent ordered behavioral and cognitive developmental stages. We describe a robotic experiment that explored the hypothesis that progress in learning, in and for itself, generates intrinsic rewards: The robot learners probabilistically selected experiences according to their potential for reducing uncertainty. In these experiments, curiosity-driven learning led the robot learner to successively discover object affordances and vocal interaction with its peers. We explain how a learning curriculum adapted to the current constraints of the learning system automatically formed, constraining learning and shaping the developmental trajectory. The observed trajectories in the robot experiment share many properties with those in infant development, including a mixture of regularities and diversities in the developmental patterns. Finally, we argue that such emergent developmental structures can guide and constrain evolution, in particular with regard to the origins of language.
机译：婴儿自己的活动可以创造并积极选择他们的学习经历。在这里，我们回顾了体现信息寻求和好奇心驱动的学习的最新模型，并表明这些机制对发展和进化具有深远的影响。我们讨论这些机制如何产生具有有序行为和认知发展阶段的自组织表观遗传。我们描述了一个机器人实验，该实验探索了学习进步本身或本身会产生内在奖励的假说：机器人学习者根据其减少不确定性的潜力概率性地选择了经验。在这些实验中，好奇心驱动的学习使机器人学习者连续发现对象的承受能力以及与同伴的声音交互。我们将说明如何自动形成适应当前学习系统约束的学习课程，从而限制学习并塑造发展轨迹。机器人实验中观察到的轨迹与婴儿发育中的轨迹具有许多特性，包括发育模式中规律性和多样性的混合。最后，我们认为，这种新兴的发展结构可以指导和限制进化，特别是在语言起源方面。

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