Artificial Intelligence (AI) Applications are the talk of IT industry today. Soft Computing, Natural Language Processing, Machine Learning, Pattern Recognition, Image Processing and Expert systems are the major concern of AI research. AI is the part of the Computer Science Concerned with designing, intelligent computer systems that exhibits the human form intelligence. The computers of today are knowledge Information processing systems. AI systems in turn, embody modules of organized knowledge about specific areas of human expertise. They also support sophisticated problem- solving and inference functions, providing users with a source of intelligent advice on some specialized topic. The content of this book is designed by referring Artificial Intelligence syllabus of different universities. The basic knowledge imparted in this book can be treated as a beginners guide for the AI learners.
Haugeland: ?artificial? Intelligence – The Very Id Ea (cloth)
Partridge ?artificial? Intelligence – Applications In The Future Of Software Engineering
Anderson: ?artificial? Intelligence & Intelligent Systems – The Implications
Gardin: Artificial Intelligence & ?expert? Systems – Case Studies In The Know Domain Of Arch
Chess Metaphors – Artificial Intelligence and the Human Mind
Morone: Experiencing Artificial ?intelligence?–an Int Approach For The ?apple? (pr Only)
Levy: ?heuristic? Programming In Artificial Intelligence: The First Comp Olympiad
Proceedings of the Thirteenth National Conference on Artificial Intelligence August 4–8, 1996, Portland, Oregon 2 V Set
Proceedings of the Ninth National Conference on Artificial Intelligence 1991 2V Set
This manuscript provides basic ideas of how the field of artificial intelligence has been developing in the past, basic concepts about intelligent agents and the most used environments, compares the performance of different types of agents and illustrates some examples with explanations. The illustrative examples of different types of logic are provided to show the importance of logic. The future of artificial intelligence is discussed to give an idea in which direction the field will be developing.
Proceedings of the Twelfth National Conference on Artificial Intelligence – August 1–4, 1994 Seattle, Washington 2V Set
Proceedings of the Eleventh National Conference on Artificial Intelligence 1993
The conventional power plants of 1950s were equipped with continuously acting automatic voltage regulators to improve the transient stability of system. The high gain of these voltage regulators has a destabilizing effect on power system. The power oscillations of small magnitude and high frequency, which often persisted in power system, present the limitation to the amount of power transmitted within the system. Improved performance has been achieved by adding damping to the system by employing power system stabilizers (PSS). Conventionally a lead- lag PSS was used to achieve this objective but has certain demerits like sluggish response etc. The use of Artificial intelligence has gain momentum now days in power system. This book gives the overview of various artificial intelligence techniques used in PSS till now and a case study based on fuzzy logic based PSS, its performance for a grid connected synchronous generator, and finally the effect of type of membership functions on PSS. This is my second book in this area. Its a perfect book for the students, researchers and industry related experts to explore the possibility of AI techniques in power system stability problems.