In this paper, we discuss a current attempt at applying the organizational principle Edelman calls Neuronal Group Selection to the control of a real, two-link robotic manipulator. We begin by motivating the need for a...
In this paper, we discuss a current attempt at applying the organizational principle Edelman calls Neuronal Group Selection to the control of a real, two-link robotic manipulator. We begin by motivating the need for an alternative to the position-control paradigm of classical robotics, and suggest that a possible avenue is to look at the primitive animal limb 'neurologically ballistic' control mode. We have been considering a selectionist approach to coordinating a simple perception-action task.
The CMAC storage scheme has been used as a basis for a software implementation of an associative memory system AMS, which itself is a major part of the learning control loop LERNAS. A major disadvantage of this CMAC-c...
The CMAC storage scheme has been used as a basis for a software implementation of an associative memory system AMS, which itself is a major part of the learning control loop LERNAS. A major disadvantage of this CMAC-concept is that the degree of local generalization (area of interpolation) is fixed. This paper deals with an algorithm for self-organizing variable generalization for the AKS, based on ideas of T. Kohonen.
暂无评论