International Journal of Students’ Research in Technology & Management eISSN: 2321-2543, Vol 5, No 4, 2017, pp 58-65 https://doi.org/10.18510/ijsrtm.2017.548 58 |www.ijsrtm.in ©Authors CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES WITH SOFT COMPUTING IN VARIOUS AREAS Avinash Kumar* * Department of Mechanical Eng., Government Eng. Ramgarh, Jharkhand, India Abhishek Kumar 2 2 Department of ECE, BIT Mesra, Ranchi, Jharkhand, India Arun Prasad Burnwal 3 3 Department of Mathematics, GGSESTC, Bokaro, Jharkhand, India * email: avikr1208@gmail.com Article History: Submitted on 12 th August, Revised on 09 th October, Published on 27 th November 2017 Abstract: Artificial Intelligence (AI) is a part of computer science concerned with designing intelligent computer systems that exhibit the characteristics used to associate with intelligence in human behavior. Basically, it define as a field that study and design of intelligent agents. Traditional AI approach deals with cognitive and biological models that imitate and describe human information processing skills. This processing skills help to perceive and interact with their environment. But in modern era developers can build system that assemble superior information processing needs of government and industry by choosing from large areas of mature technologies. Soft Computing (SC) is an added area of AI. It focused on the design of intelligent systems that process uncertain, imprecise and incomplete information. It applied in real world problems frequently to offer more robust, tractable and less costly solutions than those obtained by more conventional mathematical techniques. This paper reviews correlation of artificial intelligence techniques with soft computing in various areas. Keyword. Artificial intelligence; Soft computing; Correlation; Engineering and science. INTRODUCTION Artificial Intelligence (AI) [1], [2] is intelligence exhibited by machines. It is a human-like intelligent models for decision making. It perceives its own environment and takes actions that maximize its chance of success at some goal. According to the father of AI, John McCarthy, it is the science and engineering of making intelligent machines, especially intelligent computer programs. It is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. The most important element of AI is an agent that perceives its environment and takes actions to maximize its chances of success and reduce the complexity of system. It helps to solve real world problems by coping uncertainty of reasoning into incomplete knowledge to make strong analytical and planning systems. During solving the problem its deals with several phases such as planning, learning, perception and ability to move and manipulate target entity. Whereas Soft Computing (SC) [3], [4] is a sub-discipline of AI. It is used in unpredictable situation where uncertainties related to information is more. It is tolerant of imprecision, uncertainty, partial truth, and approximation. Correlation of AI techniques with SC is a broad class of statistical relationships that involves dependency though in common usage of constituent elements of AI with SC techniques. MOTIVATION Several surveys have been illustrated in last few decades. Each survey deal with either AI or SC, no proposal deals with combination of AI techniques with SC. This paper discussed both applications AI as well as SC. CONTRIBUTIONS In this survey paper, we illustrates the application of AI and SC in science and engineering. The key contributions of this paper are as follows: It gives general concept of AI. It also gives basic idea of SC. It describes relation between AI and SC. It illustrates several problem domains where techniques of AI and SC are used. ORGANIZATION OF THE PAPER The remainder of this paper is organized as follows. In Section 2, illustrates working principle of AI. Section 3 provides correlation of AI with SC technique. Mathematical modelling for correlation of AI techniques with SC