幼稚主体感觉运动经验中的基础物体知觉
Grounding object perception in a naive agent's sensorimotor experience
摘要：
人工目标感知通常依赖于先验定义的模型和特征提取算法。我们研究如何对象的概念可以接地在一个天真的代理的感觉运动的经验。在没有任何关于自身或所处世界的知识的情况下，智能体探索其感觉运动空间，并将物体识别为独立于其上下文的一致的感觉运动转换网络。预测的基本驱动力是假设从发展的角度来解释这种网络的出现。提出了一种算法，并进行了测试，以说明该方法。
英文摘要：
Artificial object perception usually relies on a priori defined models and feature extraction algorithms. We study how the concept of object can be grounded in the sensorimotor experience of a naive agent. Without any knowledge about itself or the world it is immersed in, the agent explores its sensorimotor space and identifies objects as consistent networks of sensorimotor transitions, independent from their context. A fundamental drive for prediction is assumed to explain the emergence of such networks from a developmental standpoint. An algorithm is proposed and tested to illustrate the approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
