Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.

Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) by Judea Pearl

From reader reviews:

Christopher Forney:

Book is usually written, printed, or created for everything. You can learn everything you want by a guide. Book has a different type. As you may know that book is important matter to bring us around the world. Adjacent to that you can your reading expertise was fluently. A book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) will make you to become smarter. You can feel much more confidence if you can know about everything. But some of you think in which open or reading the book make you bored. It isn't make you fun. Why they may be thought like that? Have you in search of best book or acceptable book with you?

Thomas Heiden:

In this 21st one hundred year, people become competitive in each way. By being competitive currently, people have do something to make these individuals survives, being in the middle of the actual crowded place and notice by means of surrounding. One thing that sometimes many people have underestimated the idea for a while is reading. Yep, by reading a reserve your ability to survive boost then having chance to stand than other is high. In your case who want to start reading any book, we give you this Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) book as beginning and daily reading e-book. Why, because this book is more than just a book.

Hector Medlin:

The particular book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) has a lot info on it. So when you make sure to read this book you can get a lot of help. The book was published by the very famous author. Mcdougal makes some research ahead of write this book. This kind of book very easy to read you can find the point easily after reading this article book.

Sherry Fitzgerald:

Book is one of source of knowledge. We can add our knowledge from it. Not only for students but native or citizen will need book to know the upgrade information of year in order to year. As we know those ebooks have many advantages. Beside many of us add our knowledge, can also bring us to around the world. By book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning) we can take more advantage. Don't you to definitely be creative people? For being creative person must prefer to read a book. Simply choose the best book that suitable with your aim. Don't end up being doubt to change your life by this book Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning). You can more desirable than now.