ISBN: 9788120328648

New Softcover NA This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a be… Meer...

New Softcover NA This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a better understanding of the subject. 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.E./B.Tech. offering courses on artificial intelligence and expert systems. CONTENTS: Preface. 1. Overview of Artificial Intelligence. 2. Symbolic Logic. 3. Knowledge Acquisition and Representation. 4. Reasoning and KRR Systems. 5. Uncertainty. 6. Search Techniques. 7. AI Technologies. 8. Expert Systems. 9. Neural Networks. 10. Case-Based Reasoning. 11. Constraint Programming. 12. Applications of Artificial Intelligence. Appendixes A: Projects. B: PROLOG. C: LISP. Bibliography Index Printed Pages: 364. First edition, [Introduction to Artificial IntelligenceRajendra Akerkar9788120328648], PHI Learning 0000<

ISBN: 9788120328648

New Softcover NA This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a be… Meer...

New Softcover NA This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a better understanding of the subject. 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.E./B.Tech. offering courses on artificial intelligence and expert systems. CONTENTS: Preface. 1. Overview of Artificial Intelligence. 2. Symbolic Logic. 3. Knowledge Acquisition and Representation. 4. Reasoning and KRR Systems. 5. Uncertainty. 6. Search Techniques. 7. AI Technologies. 8. Expert Systems. 9. Neural Networks. 10. Case-Based Reasoning. 11. Constraint Programming. 12. Applications of Artificial Intelligence. Appendixes A: Projects. B: PROLOG. C: LISP. Bibliography Index Printed Pages: 364. First edition, [Introduction to Artificial IntelligenceRajendra Akerkar9788120328648], PHI Learning 0000<

2009, ISBN: 9788120328648

PHI Learning 2009, New Softcover . This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides… Meer...

PHI Learning 2009, New Softcover . This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and expert (knowledge-based) systems and guides them towards a better understanding of the subject. 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.E./B.Tech. offering courses on artificial intelligence and expert systems. CONTENTS: Preface. 1. Overview of Artificial Intelligence. 2. Symbolic Logic. 3. Knowledge Acquisition and Representation. 4. Reasoning and KRR Systems. 5. Uncertainty. 6. Search Techniques. 7. AI Technologies. 8. Expert Systems. 9. Neural Networks. 10. Case-Based Reasoning. 11. Constraint Programming. 12. Applications of Artificial Intelligence. Appendixes A: Projects. B: PROLOG. C: LISP. Bibliography Index Printed Pages: 364. First edition, [Introduction to Artificial IntelligenceRajendra Akerkar9788120328648]<