Introduction of Cognition Science

To understand the basic evolution law of the machine brain, we need first understand machine cognition, which majorly depends on machine vision, machine touch and etc. Artificial intelligence (AI) has been rapidly developed in the latest decade and its importance to machine cognition has been widely recognized. But machine minds is still a dream about the unknowable future. This chapter presents a perspective characterization of machine cognition in the future, taking the future of medical rescues as a practical example. A conjecture on key points of theoretical framework of machine cognition processes in the considered scenes—the concept of “ambulanceye” is advanced. Ambulanceye incorporates vision, touch and minds of the future intelligent ambulances with geospatial artificial intelligence (geoAI). The role of geoAI is hypothesized as a significant contributor to driving security through real-time danger caution. Such danger caution is based on the advanced driver assistant systems (ADAS) for detecting and tracking “eigenobjects”, which are defined as potential dangerous objects hidden in spatial data. Simulated performances demonstrate the significance of ADAS for ambulances to overcome ocular restriction resulted from weathering extremes and other accidents that make sights blurred. Moreover, there are still considerable uncertainties in real-time recognition and the trace characterization of eigenobjects. GeoADAS (Improved ADAS with geoAI) is hence required for more effective objects recognition and tracking. Perspective applications of geoADAS are preliminarily discussed and at the end of this chapter, the outline of this book is also presented.