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. cial Intelligence, dexterously divided into 21 chapters, fully sasfies all these pressing The book on Ar fi cial Intelligence needs. It is intended to put each and every concept related to intelligent system in front of of the 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 of advanced advanced intelligent systems.
Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint sasfacon problems, knowledge representaon, planning, machine learning, natural language processing, paern recognion, 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 of theore theorecal and praccal aspects. With all the latest informa on incorporated and several pedagogical aributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and informaon technology.
Key Features • Highlights a clear and concise presentaon through adequate study material • Follows a systemac approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of mulple choice quesons, concept review quesons, crical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples
CONTENTS
Preface • Acknowledgements 1. Introducon to Arficial Intelligence 2. Problem Solving
3. Uninformed Search 4. Informed Search 5. Intelligent Agent 6. Constraint Sasfacon 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. Paern Recognion 15. Game Playing 16. Percepon and Acon 17. Neural Network‐based Learning 18. Fuzzy and Hybrid Intelligent Systems 19. Applica ons of of Ar Arficial Intelligence 20. Advance Topics in Arficial Intelligence 21. Concluding Remarks: AI–Present and Future Appendices • Bibliography Bibliography • • Index
ABOUT THE AUTHOR(s) Dr.. Kulkarni is an entrepreneur, Parag Kulkarni, PhD, is CEO and Chief Scienst, EKLaT Research, Pune. Dr machine learning expert and innova on strategist. Through his consultaons 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 innovaon. He is vising 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 on Strategy and Reinforcement and Systemic also authored two books, namely, Knowledge Innova on Machine Learning for Decision Making as well as more than 220 research papers. Dr 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 perspecve of thousands of researchers and professionals. He has worked very closely with Grassroots innovators and contributed to Grassroots innovaons through his refreshing novel ideas in the fields of arficial intelligence and machine learning. His areas of interests include arficial 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 acvies, 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 arficial intelligence and machine learning. She has a mulple 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:
[email protected] For more informaon visit : www.phindia.com
