LOGIC AND PROLOG PROGRAMMING BY SAROJ KAUSHIK PDF

The book has been written keeping in mind the syllabi designed for courses on AI in various technical institutions and universities in India and abroad. The book can serve as a textbook This textbook Artificial Intelligence is designed to provide comprehensive material to undergraduate and graduate students on the vast and fast-growing subject of Artificial Intelligence. The book can serve as a textbook for the first-level course for one full semester on AI and will also provide study material to computer professionals who wish to expand their knowledge. The main topics covered in the book include problem-solving using intelligent searches and planning, knowledge representation techniques, game playing, first-order predicate logic and Prolog programming in logic programming language, uncertainty handling, expert systems.

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Save for Later About this Item This textbook Artificial Intelligence is designed to provide comprehensive material to undergraduate and graduate students on the vast and fast-growing subject of Artificial Intelligence. The book has been written keeping in mind the syllabi designed for courses on AI in various technical institutions and universities in India and abroad.

The book can serve as a textbook for the first-level course for one full semester on AI and will also provide study material to computer professionals who wish to expand their knowledge. The main topics covered in the book include problem-solving using intelligent searches and planning, knowledge representation techniques, game playing, first-order predicate logic and Prolog programming in logic programming language, uncertainty handling, expert systems. The language Prolog has been used throughout the book to write programs for problems to be solved using AI techniques.

In addition, some advanced topics such as machine learning, fuzzy logic, artificial neural network, evolutionary computing, advanced knowledge representation techniques, agent technology and natural language processing have been included in detail.

Each chapter in the book has been carefully developed with the help of several pedagogical features. A large amount of effort has been put in to ensure that every concept discussed in the book is explained with the help of examples as far as possible. Pseudo algorithms for various methods and techniques are included throughout the book to increase the comprehensibility of the topics and demonstrate their applications.

Tables of Contents Introduction to Artificial Intelligence 2. Problem Reduction and Game Playing 4. Logic Concepts and Logic Programming 5. Prolog Programming Language 6. Advanced Problem-Solving Paradigm: Planning 7. Knowledge Representation 8. Expert System and Applications 9.

Uncertainty Measure: Probability Theory Fuzzy Sets and Fuzzy Logic Machine-Learning Paradigms Artificial Neural Networks Evolutionary Computation Introduction to Intelligent Agents Advanced Knowledge Representation Techniques Bookseller Inventory

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Artificial Intelligence

SapnaOnline offers Free shipment all across India for orders above Rs and Global Shipment at the most economical cost. Artificial Intelligence by Saroj Kaushik Author. Artificial Intelligence anna University Author: Each chapter in the book has been carefully developed with the help of several pedagogical features. CBR Based automatic bidding.

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SAROJ KAUSHIK ARTIFICIAL INTELLIGENCE PDF

Save for Later About this Item This textbook Artificial Intelligence is designed to provide comprehensive material to undergraduate and graduate students on the vast and fast-growing subject of Artificial Intelligence. The book has been written keeping in mind the syllabi designed for courses on AI in various technical institutions and universities in India and abroad. The book can serve as a textbook for the first-level course for one full semester on AI and will also provide study material to computer professionals who wish to expand their knowledge. The main topics covered in the book include problem-solving using intelligent searches and planning, knowledge representation techniques, game playing, first-order predicate logic and Prolog programming in logic programming language, uncertainty handling, expert systems. The language Prolog has been used throughout the book to write programs for problems to be solved using AI techniques. In addition, some advanced topics such as machine learning, fuzzy logic, artificial neural network, evolutionary computing, advanced knowledge representation techniques, agent technology and natural language processing have been included in detail. Each chapter in the book has been carefully developed with the help of several pedagogical features.

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