ARTIFICIAL INTELLIGENCE : BUILDING INTELLIGENT SYSTEMS, By KULKARNI, PARAG, JOSHI, PRACHI Price: Rs. 425.00 ISBN: 978‐81‐203‐5046‐5 Pages: 528 Binding: Paper Back Buy Now at www.phindia.com DESCRIPTION There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day‐to‐day life. But it is accentuated to have a book that keeps abreast of all the state‐of‐the‐art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Ar ficial Intelligence, dexterously divided into 21 chapters, fully sa sfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint sa sfac on problems, knowledge representa on, planning, machine learning, natural language processing, pa ern recogni on, game playing, hybrid and fuzzy systems, neural network‐based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theore cal and prac cal aspects. With all the latest informa on incorporated and several pedagogical a ributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and informa on technology. Key Features • Highlights a clear and concise presenta on through adequate study material • Follows a systema c approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of mul ple choice ques ons, concept review ques ons, cri cal thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples CONTENTS Preface • Acknowledgements 1. Introduc on to Ar ficial Intelligence 2. Problem Solving 3. Uninformed Search 4. Informed Search 5. Intelligent Agent 6. Constraint Sa sfac on Problems 7. Knowledge and Reasoning 8. Uncertain Knowledge and Reasoning 9. Planning 10. Learning 11. Expert Systems 12. Natural Language Processing 13. Decision Theory 14. Pa ern Recogni on 15. Game Playing 16. Percep on and Ac on 17. Neural Network‐based Learning 18. Fuzzy and Hybrid Intelligent Systems 19. Applica ons of Ar ficial Intelligence 20. Advance Topics in Ar ficial Intelligence 21. Concluding Remarks: AI–Present and Future Appendices • Bibliography • Index ABOUT THE AUTHOR(s) Parag Kulkarni, PhD, is CEO and Chief Scien st, EKLaT Research, Pune. Dr. Kulkarni is an entrepreneur, machine learning expert and innova on strategist. Through his consulta ons and innova ve leadership, he has turned around fortune of more than one dozen start‐ups in last two decades. He is pioneer of concepts systemic machine learning and systemic knowledge innova on. He is visi ng researcher and faculty at various B‐schools and technical schools of repute, including IITs, IIMs, Masaryk University, COEP, etc. Besides being the co‐author of more than half a dozen books, he has also authored two books, namely, Knowledge Innova on Strategy and Reinforcement and Systemic Machine Learning for Decision Making as well as more than 220 research papers. Dr. Kulkarni is co‐inventor of half a dozen patents as well. He has delivered more than 100 keynote addresses and numerous talks on machine learning, strategy and managing start‐ups to deliver extraordinary impact on strategic perspec ve of thousands of researchers and professionals. He has worked very closely with Grassroots innovators and contributed to Grassroots innova ons through his refreshing novel ideas in the fields of ar ficial intelligence and machine learning. His areas of interests include ar ficial intelligence, machine learning, business and knowledge innova on and data mining. Prachi Joshi, PhD, is an Associate Professor, Department of Computer Engineering, MIT College of Engineering, Pune. Besides being involved in research ac vi es, she has been teaching the graduate and postgraduate students also. She has also been co‐guiding numerous projects in computer sciences at various engineering colleges. Her research areas include ar ficial intelligence and machine learning. She has a mul ple research publica ons to her credit. 2015 / 528pp. / 17.8 × 23.5 cm / ISBN‐978‐81‐203‐5046‐5 / Rs.425.00 PHI Learning Private Limited © 2011. Email:
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