论文标题
受脑启发的分布式认知结构
Brain-inspired Distributed Cognitive Architecture
论文作者
论文摘要
在本文中，我们提出了一种以脑为灵感的认知结构，该结构结合了感官处理，分类，上下文预测和情感标记。认知体系结构被实现为三个模块化网络服务器，这意味着它可以在中心部署或跨网络部署到服务器。这些实验揭示了行为的两个不同的操作，即高水平和低帮助的操作模式，它们紧密地模拟了大脑中的注意力。除了建模皮层外，我们还证明了一个受生物启发的体系结构引入了处理效率。该软件已作为开源平台发布，可以通过未来的研究团队轻松扩展。这项研究为生物现实的注意力方向和感觉选择奠定了基础，我们认为这是实现生物现实的人工智能系统迈出的关键一步。
In this paper we present a brain-inspired cognitive architecture that incorporates sensory processing, classification, contextual prediction, and emotional tagging. The cognitive architecture is implemented as three modular web-servers, meaning that it can be deployed centrally or across a network for servers. The experiments reveal two distinct operations of behaviour, namely high- and low-salience modes of operations, which closely model attention in the brain. In addition to modelling the cortex, we have demonstrated that a bio-inspired architecture introduced processing efficiencies. The software has been published as an open source platform, and can be easily extended by future research teams. This research lays the foundations for bio-realistic attention direction and sensory selection, and we believe that it is a key step towards achieving a bio-realistic artificial intelligent system.
