Primarily intended for the undergraduate and postgraduate students of computer science and engineering, this textbook (earlier titled as Artificial Intelligence and Machine Learning), now in its second edition, bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence. This book promises to provide the most number of case studies and worked-out examples among the books of its genre. The text is written in a highly interactive manner which fulfils the curiosity of any reader.
Moreover, the content takes off from the introduction to artificial intelligence, which is followed by explaining about intelligent agents. Various problem-solving strategies, knowledge representation schemes are also included with numerous case studies and applications. Different aspects of learning, nature-inspired learning, along with natural language processing are also explained in depth. The algorithms and pseudo codes for each topic make this book useful for students. Book also throws light into areas like planning, expert system and robotics. Book concludes with futuristic artificial intelligence, which explains the fascinating applications, that the world will witness in coming years.
KEY FEATURES
• Day-to-day examples and practical representations for deeper understanding of the subject.
• Learners can easily implement the AI applications.
• Effective and useful case studies and worked-out examples for AI problems.
Target Audience
• Students of B.E./B.Tech Computer Science Engineering
• Students of M.E./M.Tech Computer Science Engineering
VINOD CHANDRA S.S., PhD, is Professor, Department of Computer Science, University of Kerala. He is head of Machine Intelligence Research (MIR), a pinpoint research group in machine learning and nature-inspired techniques. Dr. Vinod is leading many research and development projects associated with universities and the government and holds many consultancy activities for government organizations. He has five IPRs and a patent in the field of machine learning. An author of six books and a modest number of research publications, he is a reviewer of many international journals and conferences. His research area includes machine intelligence algorithms and nature-inspired computing.|ANAND HAREENDRAN S., PhD, is Associate Professor, Department of Computer Science and Engineering, Muthoot Institute of Technology and Science, Kochi. He has designed and implemented various rule-mining algorithms, which find application in medical field, route mapping and frequent item search. Dr. Anand is an author of two books, a modest number of research journal publications, and has two IPRs in machine learning algorithms. He is a reviewer in various international conferences and journals, and is an active member of Machine Intelligence Research (MIR) group. His current area of research includes algorithms on machine learning, association rule mining and bio-inspired methodologies.
