Classification as Sensory-Motor Coordination: A Case Study on Autonomous Agents
Classification as Sensory-Motor Coordination: A Case Study on Autonomous Agents
复制标题
感觉运动协调的分类：自主代理的案例研究
DOI：
10.1007/3-540-59496-5_333
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
R. Pfeifer
中科院分区：
文献类型：
--
作者：
C. Scheier;R. Pfeifer
在心理学中，分类是作为一种独立的认知能力来研究的。在自主代理领域，机器人配备了感知机制，用于对环境中的对象进行分类，无论是通过预编程还是通过某种学习机制。其中一个众所周知的困难和基本的问题是感知混淆，即由同一个物体引起的感官刺激根据与物体的距离，方向，照明条件等而变化很大。解决这个问题的努力，比如在经典的计算机视觉中，只取得了有限的成功。在本文中，我们认为，分类不能被看作是一个独立的感知能力的代理，但应被视为一个感觉运动的协调，通过自组织过程。这意味着整个生物体都参与其中，而不仅仅是传感器和神经回路。从这个角度来看，“行动选择”成为分类的一个组成部分。这些想法通过机器人学习区分可抓取和不可抓取钉的案例研究来说明
In psychology classification is studied as a separate cognitive capacity. In the field of autonomous agents the robots are equipped with perceptual mechanisms for classifying objects in the environment, either by preprogramming or by some sorts of learning mechanisms. One of the well-known hard and fundamental problems is the one of perceptual aliasing, i.e. that the sensory stimulation caused by one and the same object varies enormously depending on distance from object, orientation, lighting conditions, etc. Efforts to solve this problem, say in classical computer vision, have only had limited success. In this paper we argue that classification cannot be viewed as a separate perceptual capacity of an agent but should be seen as a sensory-motor coordination which comes about through a self-organizing process. This implies that the whole organism is involved, not only sensors and neural circuitry. In this perspective, “action selection” becomes an integral part of classification. These ideas are illustrated with a case study of a robot that learns to distinguish between graspable and non-graspable pegs
影响因子：
64.8
作者：
DILL, M;WOLF, R;HEISENBERG, M
通讯作者：
HEISENBERG, M
感觉运动耦合和动力学分类
DOI：
--
发表时间：
2004
期刊：
Artificial Life IX in Artficial Life IX(eds. J.Pollack et al.)
影响因子：
--
作者：
Morimoto;G.;Ikegami;T
通讯作者：
T