CIT: Integrated cognitive computing and cognitive agent technologies based cognitive architecture for human-like functionality in artificial systems

Abstract

The paper proposes a novel cognitive architecture that combines cognitive computing and cognitive agent technologies for performing human-like functionality. The system architecture is known as CIT (Cognitive Information Technology). This design takes advantage of cognitive computing to handle Experiential Information (EI) using audio processing, computer vision, natural language processing, text mining, and data mining techniques. The CIT architecture includes human like cognitive agent functionality comprising attention, learning, memory, action selection, and action to handle human like individual and distributed knowledge bases to create rational decisions. The work shows CIT architecture practical implementation through “CIT framework” developed in C# and python language. For validating the system performance, the paper shows CIT based Object Recognition and Question Answering System. This framework is anticipated to advance the quality of artificial intelligent agent based decision-making using human like perception, comprehend and action skills, reducing real world business errors and assuring the correct, accurate, knowledgeable and well-timed human like decisions.