Reliable and believable conclusion in intelligent systems

after payment (24/7)
(for all gadgets)
(including for Apple and Android)
The book "Reliable and believable conclusion in intelligent systems" , Created by a team of authors, is a unique study in the field of artificial intelligence and logic , which not only expands the horizons of understanding of modern technologies , but also offers practical solutions to improve the reliability of automated systems. This book will become an indispensable assistant for specialists in the field of computer science, developers of intelligent systems, researchers and students seeking to understand the intricacies of building algorithms capable of making sound and reliable conclusions. The book focuses on the problem of ensuring confidence in the results of intelligent systems. In an era when automated solutions are increasingly being implemented in medicine, finance, security and other critical areas, the question of credibility and reliability of conclusions becomes especially urgent. The authors analyze in detail the mechanisms that allow systems not only to draw conclusions, but also to confirm their reliability, avoiding errors and misunderstandings. The book reveals modern methods of evaluating probabilistic models, logical foundations and algorithms that provide transparency and explainability of solutions, which makes it a valuable resource for those who want to create or improve intelligent systems with a high degree of trust. "Reliable and believable inference in intelligent systems" is not just a theoretical work. It presents practical cases, real-life examples, as well as modern approaches to building systems capable of self-correction and adaptation. The authors share their experience, talking about how to implement verification and verification mechanisms into automatic solutions in order to increase their efficiency and safety. Particular attention is paid to the issues of interpretability and explicability, which is especially important in an era when trust in artificial intelligence is becoming a key factor in its successful application. The book is perfect for a wide range of readers - from students and graduate students studying artificial intelligence and logical systems, to experienced engineers and developers looking for new ideas to improve the quality of their solutions. Its content is interesting to those who appreciate deep analysis, modern technologies and practical application of theoretical concepts. It raises important topics such as probabilistic modeling, inference logic, explainability and trust mechanisms, and issues of ethics and responsibility in automated systems. The style of the authors is distinguished by clarity and accuracy, which makes complex technical ideas available even to those who are just beginning to get acquainted with this area. At the same time, the book contains many nuances and subtleties that will interest professionals and researchers looking for new approaches and ideas. A team of authors with extensive experience in the field of artificial intelligence, logic and probability theory has created a work that not only expands scientific horizons, but also helps practitioners to introduce innovative solutions that increase confidence in intelligent systems. If you are looking for a book This will help you understand ,. how to make automated solutions more reliable and explainable, and learn to build systems, able to draw reliable conclusions under conditions of uncertainty, “Reliable and believable inference in intelligent systems” is exactly that. What do you need. This book will be your reliable companion in the world of modern technologies, where trust and transparency are the key to success.
LF/533448519/R
Data sheet
- Name of the Author
- Collective of authors
- Language
- Russian