Description
PHI Artificial Intelligence Building Intelligent Systems 2015 Edition by Joshi Prachi and Kulkarni Parag
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 Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies 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 satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, 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 theoretical and practical aspects.With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology.Key Features• Highlights a clear and concise presentation through adequate study material• Follows a systematic approach to explicate fundamentals as well as recent advances in the area• Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work• Incorporates various case studies for major topics as well as numerous industrial examplesPreface • Acknowledgements1. Introduction to Artificial Intelligence2. Problem Solving3. Uninformed Search4. Informed Search5. Intelligent Agent6. Constraint Satisfaction Problems7. Knowledge and Reasoning8. Uncertain Knowledge and Reasoning9. Planning10. Learning11. Expert Systems12. Natural Language Processing13. Decision Theory14. Pattern Recognition15. Game Playing16. Perception and Action17. Neural Network-based Learning18. Fuzzy and Hybrid Intelligent Systems19. Applications of Artificial Intelligence20. Advance Topics in Artificial Intelligence21. Concluding Remarks: AI–Present and FutureAppendices • Bibliography • Index