Cognitive Computing (COC) aims to build highly cognitive machines with low
computational resources that respond in real-time. However, scholarly
literature shows varying research areas and various interpretations of COC.
This calls for a cohesive architecture that delineates the nature of COC. We
argue that if Herbert Simon considered the design science is the science of
artificial, cognitive systems are the products of cognitive science or 'the
newest science of the artificial'. Therefore, building a conceptual basis for
COC is an essential step into prospective cognitive computing-based systems.
This paper proposes an architecture of COC through analyzing the literature on
COC using a myriad of statistical analysis methods. Then, we compare the
statistical analysis results with previous qualitative analysis results to
confirm our findings. The study also comprehensively surveys the recent
research on COC to identify the state of the art and connect the advances in
varied research disciplines in COC. The study found that there are three
underlaying computing paradigms, Von-Neuman, Neuromorphic Engineering and
Quantum Computing, that comprehensively complement the structure of cognitive
computation. The research discuss possible applications and open research
directions under the COC umbrella.

本研究在分析认知计算 (COC) 的文献基础上，提出了 COC 的体系结构，并讨论了在 Von-Neuman、神经形态工程和量子计算等三种计算范式下的应用及未来方向。