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Artificial Intelligence AI is an emerging discipline of computer science. It deals with the concepts and methodologies required by computer to perform an intelligent activity. The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings can. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing with the real world uncertain situations, etc. It also develops the techniques for learning and understanding, which make the computer able to exhibit an intelligent behavior. The list is exhaustive and is applied nowadays in almost every field of technology. This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language.
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The spectrum of computer science is very wide and it enables the computer to handle almost every activity, which human beings could. It deals with defining the basic problem from viewpoint of solving it through computer, finding out the total possibilities of solution, representing the problem from computational orientation, selecting data structures, finding the solution through searching the goal in search space dealing the real world uncertain situations etc.
It also develops the techniques for learning and understanding, which make the computer able to exhibit an intelligent behavior.
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The list is exhaustive and is applied now a days in almost every field of technology. This book presents almost all the components of AI like problem solving, search techniques, knowledge concepts, expert system and many more in a very simple language.
One of the unique features of this book is inclusion of number of solved examples; in between the chapters and also at the end of many chapters. Real life examples have been discussed to make the reader conversant with the intricate phenomenon of computer science in general, and artificial intelligence in particular.
The book is primarily developed for undergraduate and postgraduate engineering students. The text begins with a brief introduction to artificial intelligence including application areas, its history and future, and programming.
It then deals with symbolic logic, knowledge acquisition, and uncertainty. The text also clearly explains AI technologies such as computer vision, natural language processing, and speech recognition.
Finally, it concludes with discussions on expert systems, neural networks, constraint programming, and case-based reasoning. Primarily designed for the postgraduate students of computer science and engineering, master of computer application MCA , and information technology IT , this easy-to-read book will also serve as a useful text for the students of B. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools.
Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components.
Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine.
Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.
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