Transdisciplinary Way of Knowledge Representation in Intelligent Autonomous Systems with Neural Networks

Learning is the highly complex and ongoing process in each and every stage of life to enrich our thought processes, in the same way our thought process is involved in the course of acquiring auxiliary knowledge with an existing knowledge. In this perspective human stands ahead on every stage of life, an important difference between intelligent autonomous applications and human intelligence is our ability to exploit common sense knowledge attained from a lifetime of learning and experiences to inform our decision-making and behavior. This allows humans to adapt easily to novel situations where intelligent autonomous systems fail in some cases due to lack of situation-specific rules and generalization capabilities.