Convergence of, intelligence in human, using neural network and artificial intelligence

This paper presents a new perspective of Artificial Intelligence (AI). Although, number of attempts has been made to make an artifact intelligent, including evolution theory, neural network etc and a number of problems have been solved using these concepts but each of this theory covers only some aspect of human intelligence. Still there is a large gap between artificial intelligence agent and human being. In this paper I have discuss the extended version of Artificial Intelligence by augmenting it with emotions, and inheritance of neural architecture from parent generation to child generation that can make an artificial agent to match the intelligence and behaviour of a human being. At the same time it adds the power of two well knows Artificial Intelligence techniques viz. Neural Computing and Genetic Computing or Evolutionary Computing. The paper gives an idea of an artefact which is supposed to match the intelligence and behaviour of a human being. Paper also discusses some natural phenomenon and how they can be confirmed by the revised definition of artificial intelligence. The paper does not claim that existing definition of artificial intelligence has some faults. The paper just augments the existing definition by some other features that can make it more close to natural intelligence. The features augmented are naturally inspired similarly as AI, Neural Network and genetics all are naturally inspired.