Real-Time Cognitive Computing Architecture for Data Fusion in a Dynamic Environment

Duong, Tuan A. ; Duong, Vu A.

PID  :  NTRS Document ID: 20120006580
RP-ID  :  NPO-46633

学科分类：人工智能

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

A novel cognitive computing architecture is conceptualized for processing multiple channels of multi-modal sensory data streams simultaneously, and fusing the information in real time to generate intelligent reaction sequences. This unique architecture is capable of assimilating parallel data streams that could be analog, digital, synchronous/asynchronous, and could be programmed to act as a knowledge synthesizer and/or an "intelligent perception" processor. In this architecture, the bio-inspired models of visual pathway and olfactory receptor processing are combined as processing components, to achieve the composite function of "searching for a source of food while avoiding the predator." The architecture is particularly suited for scene analysis from visual data and odorant.