Lathrop Scott D, Wintermute Samuel, Laird John E
Department of Electrical Engineering and Computer Science, United States Military AcademyDepartment of Electrical Engineering and Computer Science, University of Michigan.
Top Cogn Sci. 2011 Oct;3(4):796-818. doi: 10.1111/j.1756-8765.2010.01130.x. Epub 2010 Dec 17.
We present a general cognitive architecture that tightly integrates symbolic, spatial, and visual representations. A key means to achieving this integration is allowing cognition to move freely between these modes, using mental imagery. The specific components and their integration are motivated by results from psychology, as well as the need for developing a functional and efficient implementation. We discuss functional benefits that result from the combination of multiple content-based representations and the specialized processing units associated with them. Instantiating this theory, we then discuss the architectural components and processes, and illustrate the resulting functional advantages in two spatially and visually rich domains. The theory is then compared to other prominent approaches in the area.
我们提出了一种紧密整合符号、空间和视觉表征的通用认知架构。实现这种整合的一个关键手段是利用心理意象,使认知能够在这些模式之间自由转换。特定组件及其整合受到心理学研究结果以及开发功能强大且高效的实现方式的需求的推动。我们讨论了多种基于内容的表征及其相关的专门处理单元相结合所带来的功能优势。在实例化这一理论时,我们接着讨论架构组件和过程,并在两个空间和视觉丰富的领域中展示由此产生的功能优势。然后将该理论与该领域的其他重要方法进行比较。