Artificial intelligence is becoming an integral constituent in almost all domains of scientific as well as business and social development. From analytics to synthetic robotics, the agency is expanding from concept refinement to operative excellence. Artificial intelligence is no more limited to computation and decision making, the inference of psychology, cognitive science, neuroscience and philosophy introduced more challenging ideas in this domain. Human-like rationality is one vital point in artificial intelligence which gains lot more attention in recent past, related to the same point, knowledge management in the agency is also highlighted as an area of interest as it provides the basis to rational decision making and planning. From data processing to information management and converting information patterns to knowledge cluster is a huge research area which is becoming important due to the emergence of challenges like Bigdata and IoT. Implicit and explicit knowledge in the human brain is split due to conscious and unconscious part of the brain. The automaticity of the unconscious, emotion generation and intuition are all beyond conscious control but having an impact on all conscious processes, therefore; it is important to focus on unconscious process management to have a better understanding / control of conscious processes and decision making. This thesis provides a view of the impact of knowledge convergence and divergence at conscious and unconscious level. Knowledge manipulation is highly important to develop evolvable/learnable processes in the agency. Converging the existing knowledge to formulate solutions or to refine the existing knowledge is important as a cognitive ability to create / generate solutions. It is far more important to study the generation of divergent ideas at unconscious level based on implicit knowledge, dreams and emotions as this type of knowledge are responsible for radical changes in developing new paths, solutions and even the news ways for system survival. Proposed framework in this research has discussed all these aspects in a comprehensive manner. The validation of the same is being done using two scenarios to evaluate the convergence and divergence phenomenon in machines. Results show that convergence and divergence both are supportive of developing creative ability in the machines.